2 Commits
SegImg ... dev

36 changed files with 437 additions and 1119 deletions

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@@ -1,78 +0,0 @@
#include "Data3DCluster.h"
#include "SegImgFunction.h"
#include "Function2D.h"
#include "Function3D.h"
#include "maxConnectedComponent3D.cuh"
#include <algorithm>
#include <float.h>
#include <MatlabWriter.h>
using namespace Aurora;
using namespace Recon;
Data3DClusterResult Recon::Data3DCluster(const Aurora::Matrix& aMatrix, float aTopZ)
{
int clusNum = 2;
Aurora::Matrix imgSamp = downSample(aMatrix);
int ite = 1;
int LStartNum = 101;
float nipThre = 0;
Aurora::Matrix clusImg;
Aurora::Matrix nipRe;
while(LStartNum > 100)
{
if(ite < 5)
{
size_t size = imgSamp.getDataSize();
imgSamp.forceReshape(size,1,1);
KmeansResult kResult = kmeans(imgSamp, 2);
clusImg = kResult.Label;
nipThre = max(kResult.CenterPoint, FunctionDirection::All)[0];
ite++;
}
else
{
nipThre+=0.02;
Aurora::Matrix oneMatrix = zeros(clusImg.getDataSize(),1) + 1;
for(int i=0; i<clusImg.getDataSize(); ++i)
{
if(imgSamp[i] > nipThre)
{
clusImg[i] += 1;
}
}
}
nipRe = zeros(aMatrix.getDimSize(0), aMatrix.getDimSize(1),aMatrix.getDimSize(2));
size_t effectiveDataSize = aMatrix.getDataSize() - ((aTopZ + 1) * aMatrix.getDimSize(0) * aMatrix.getDimSize(1));
for(size_t i=0; i<effectiveDataSize; ++i)
{
if(aMatrix[i] > nipThre)
{
nipRe[i] = 1;
}
}
size_t nipRe20Size = nipRe.getDimSize(0) * nipRe.getDimSize(1) * 20;
float* nipRe20Data = new float[nipRe20Size];
std::copy(nipRe.getData(), nipRe.getData() + nipRe20Size, nipRe20Data);
Aurora::Matrix nipRe20 = Aurora::Matrix::fromRawData(nipRe20Data, nipRe.getDimSize(0), nipRe.getDimSize(1), 20);
LStartNum = bwconncomp3D(nipRe20);
nipRe = maxConnectedComponent3D(nipRe);
}
std::vector<float> C3D(clusNum, FLT_MAX);
for(size_t i=0; i<imgSamp.getDataSize(); ++i)
{
if( imgSamp[i] < C3D[clusImg[i] - 1])
{
C3D[clusImg[i] - 1] = imgSamp[i];
}
}
auto it = std::max_element(C3D.begin(), C3D.end());
Data3DClusterResult result;
result.nipRe = nipRe;
result.thre3D = *it;
return result;
}

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@@ -1,14 +0,0 @@
#ifndef DATA3DCLUSTER_H
#define DATA3DCLUSTER_H
#include <Matrix.h>
namespace Recon
{
struct Data3DClusterResult
{
Aurora::Matrix nipRe;
float thre3D;
};
Data3DClusterResult Data3DCluster(const Aurora::Matrix& aMatrix, float aTopZ);
}
#endif //DATA3DCLUSTER_H

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#include "DealBW.h"
#include "SegImgFunction.h"
using namespace Recon;
using namespace Aurora;
Aurora::Matrix Recon::DealBW(const Aurora::Matrix& aMatrix)
{
Aurora::Matrix tmp3 = maxConnRegoin(aMatrix);
tmp3 = imdilate(tmp3);
tmp3 = imerode(tmp3);
tmp3 = imfill(tmp3);
tmp3 = maxConnRegoin(tmp3);
tmp3 = bwconvhull(tmp3);
return tmp3;
}

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@@ -1,8 +0,0 @@
#ifndef DEALBW_H
#define DEALBW_H
#include <Matrix.h>
namespace Recon
{
Aurora::Matrix DealBW(const Aurora::Matrix& aMatrix);
}
#endif //DEALBW_H

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@@ -1,38 +0,0 @@
#include "FindStartZSliceBaseCluster.h"
#include "Function2D.h"
#include "SegImgFunction.h"
#include <math.h>
using namespace Recon;
using namespace Aurora;
unsigned int Recon::FindStartZSliceBaseCluster(const Aurora::Matrix& aMatrix, float aReso, int aTopZ)
{
unsigned int startZ;
float nipThre = M_PI * pow(roundf32(5e-3 / aReso), 2);
int i=1;
while(i < aMatrix.getDimSize(2) - aTopZ)
{
Aurora::Matrix label = aMatrix.block(2, i-1, i-1);
if(sum(label, FunctionDirection::All)[0] > 0)
{
label = maxConnRegoin(label);
if(sum(label, FunctionDirection::All)[0] < nipThre)
{
++i;
}
else
{
startZ = i;
break;
}
}
else
{
++i;
}
}
return startZ;
}

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@@ -1,8 +0,0 @@
#ifndef FINDSTARTZSLICEBASECLUSTER_H
#define FINDSTARTZSLICEBASECLUSTER_H
#include <Matrix.h>
namespace Recon
{
unsigned int FindStartZSliceBaseCluster(const Aurora::Matrix& aMatrix, float aReso, int aTopZ);
}
#endif //FINDSTARTZSLICEBASECLUSTER_H

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@@ -1,45 +0,0 @@
#include "PreSegImg.h"
#include "SegImgFunction.h"
#include "Function3D.h"
#include "Function2D.h"
#include "DealBW.h"
using namespace Recon;
using namespace Aurora;
PreSegImgResult Recon::PreSegImg(const Aurora::Matrix& aNipRe, unsigned int aTopZ, unsigned int aStartZ)
{
int x = aNipRe.getDimSize(0);
int y = aNipRe.getDimSize(1);
int z = aNipRe.getDimSize(2);
Aurora::Matrix SegRes = zeros(aNipRe.getDimSize(0), aNipRe.getDimSize(1), aNipRe.getDimSize(2));
unsigned int endZ = aStartZ;
for(int i= z - aTopZ; i>=aStartZ; --i)
{
Aurora::Matrix label = aNipRe.block(2, i-1, i-1);
Aurora::Matrix labelH = imfill(label);
Aurora::Matrix hole = labelH - label;
if(sum(hole, FunctionDirection::All)[0] > 2*sum(label, FunctionDirection::All)[0])
{
endZ = i;
break;
}
}
for(int i=aStartZ; i<=endZ; ++i)
{
Aurora::Matrix label = aNipRe.block(2, i-1, i-1);
Aurora::Matrix maskIn = SegRes.block(2, i-2, i-2);
Aurora::Matrix maskOut = imerode(maskIn);
label = label * (1-maskOut);
Aurora::Matrix SegI = (label + maskIn) > 0;
SegI = maxConnRegoin(SegI);
SegI = DealBW(SegI);
SegRes.setBlock(2, i-1, i-1, SegI);
}
PreSegImgResult result;
result.endZ = endZ;
result.SegRes = SegRes;
return result;
}

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@@ -1,14 +0,0 @@
#ifndef PRESEGIMG_H
#define PRESEGIMG_H
#include <Matrix.h>
namespace Recon
{
struct PreSegImgResult
{
Aurora::Matrix SegRes;
unsigned int endZ;
};
PreSegImgResult PreSegImg(const Aurora::Matrix& aNipRe, unsigned int aTopZ, unsigned int aStartZ);
}
#endif //PRESEGIMG_H

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@@ -1,170 +0,0 @@
#include "SegImg.h"
#include "config/config.h"
#include "Function2D.h"
#include "Function3D.h"
#include "SegImgFunction.h"
#include "DealBW.h"
#include "Data3DCluster.h"
#include "FindStartZSliceBaseCluster.h"
#include "PreSegImg.h"
#include <float.h>
using namespace Aurora;
namespace
{
Aurora::Matrix create1ToXMatrix(int aEndValue)
{
float* data = new float[aEndValue];
for(int i=1; i<=aEndValue; ++i)
{
data[i-1] = i;
}
return Aurora::Matrix::fromRawData(data, 1, aEndValue);
}
}
Aurora::Matrix Recon::SegImgMain(const Aurora::Matrix& aMatrix, float aImageResolution, const Aurora::Matrix& aImageStartPoint, const Aurora::Matrix& aImageEndPoint)
{
int topZ = roundf32((aImageEndPoint.getData()[2]-0) / aImageResolution);
Aurora::Matrix temp = aMatrix.deepCopy();
temp.forceReshape(temp.getDataSize(), 1, 1);
Aurora::Matrix img = (aMatrix - min(temp,FunctionDirection::All)) / (max(temp,FunctionDirection::All) - min(temp,FunctionDirection::All));
Data3DClusterResult data3DClusterResult = Data3DCluster(img, topZ);
unsigned int startZ = FindStartZSliceBaseCluster(data3DClusterResult.nipRe, aImageResolution, topZ);
PreSegImgResult preSegImgResult = PreSegImg(data3DClusterResult.nipRe, topZ, startZ);
Aurora::Matrix segRes = SegImg(preSegImgResult.SegRes, img, preSegImgResult.endZ, data3DClusterResult.thre3D, aImageResolution, aImageStartPoint, aImageEndPoint);
return aMatrix * segRes;
}
Aurora::Matrix Recon::SegImg(const Aurora::Matrix& aSegRes, const Aurora::Matrix& aImg, int aEndZ, float aThre3D,
float aImageResolution, const Aurora::Matrix& aImageStartPoint, const Aurora::Matrix& aImageEndPoint)
{
Aurora::Matrix result = aSegRes.deepCopy();
int clustNumZ = 2;
int x = result.getDimSize(0);
int y = result.getDimSize(1);
int z = result.getDimSize(2);
Aurora::Matrix xIdx = transpose(repmat(create1ToXMatrix(x),y,1));
Aurora::Matrix yIdx = repmat(create1ToXMatrix(y),x,1);
float CenterP1 = roundf32(-aImageStartPoint[0] / aImageResolution);
float CenterP2 = roundf32(-aImageStartPoint[1] / aImageResolution);
Aurora::Matrix xDistance = (xIdx-CenterP1)^2;
Aurora::Matrix yDistance = (yIdx-CenterP2)^2;
Aurora::Matrix centerDis = Aurora::sqrt(xDistance + yDistance);
for(int i=aEndZ+1; i<=z; ++i)
{
int updateFlag = 1;
Aurora::Matrix tmp = result.block(2, i-2, i-2);
float zDis = aImageEndPoint[2] - (z-i)*aImageResolution;
Aurora::Matrix centerDisZ = centerDis*tmp;
float centerDis_Z = Aurora::max(centerDisZ)[0]*aImageResolution;
float ThSlice;
if(centerDis_Z > 0.08 || zDis > -0.03)
{
tmp = aImg.block(2, i-1, i-1);
Aurora::Matrix imgData = downSample(tmp);
Aurora::Matrix imgDataCopy = imgData.deepCopy();
imgDataCopy.forceReshape(imgData.getDataSize(),1,1);
KmeansResult kResult = kmeans(imgDataCopy, clustNumZ);
Aurora::Matrix clusImg = kResult.Label;
Aurora::Matrix clus = zeros(clustNumZ,2);
for(int k=1; k<=clustNumZ;++k)
{
float cIDx = 0;
float minValue = MAXFLOAT;
for(unsigned int j=0; j<imgData.getDataSize(); ++j)
{
if(clusImg[j] == k)
{
cIDx++;
if(minValue > imgData[j])
{
minValue = imgData[j];
}
}
}
clus[k-1] = minValue;
clus[k+1] = cIDx;
}
Aurora::Matrix idx;
clus = sortrows(clus, &idx);
if(clus[0] < clus[1] && clus[2] > clus[3])
{
ThSlice = clus[1];
}
else
{
tmp = aImg.block(2, i-1, i-1);
Aurora::Matrix mask = result.block(2, i-2, i-2);
mask = imerode(mask);
tmp = tmp*(1-mask) + mask * mean(tmp,FunctionDirection::All)[0];
imgData = downSample(tmp);
Aurora::Matrix imgDataCopy = imgData.deepCopy();
imgDataCopy.forceReshape(imgData.getDataSize(),1,1);
kResult = kmeans(imgDataCopy, 2);
clusImg = kResult.Label;
clus = zeros(clustNumZ,2);
for(int k=1; k<=clustNumZ;++k)
{
float cIDx = 0;
float minValue = MAXFLOAT;
for(unsigned int j=0; j<imgData.getDataSize(); ++j)
{
if(clusImg[j] == k)
{
cIDx++;
if(minValue > imgData[j])
{
minValue = imgData[j];
}
}
}
clus[k-1] = minValue;
clus[k+1] = cIDx;
}
Aurora::Matrix idx;
clus = sortrows(clus, &idx);
if(clus[0] < clus[1] && clus[2] > clus[3])
{
ThSlice = clus[1];
}
else
{
updateFlag = 0;
}
}
}
else
{
ThSlice = aThre3D;
}
if(zDis > -0.03)
{
Aurora::Matrix tmp1 = result.block(2, i-2, i-2);
Aurora::Matrix tmp2 = result.block(2, i-1, i-1);
float idx = ((sum(tmp2,FunctionDirection::All) - sum(tmp1,FunctionDirection::All)) / sum(tmp1,FunctionDirection::All)).getData()[0];
if(idx>0.15)
{
updateFlag = 0;
}
}
Aurora::Matrix segI;
if(updateFlag == 1)
{
Aurora::Matrix ref = aImg > ThSlice;
Aurora::Matrix refI = ref.block(2, i-1, i-1);
segI = (refI + result.block(2, i-2, i-2)) > 0;
segI = DealBW(segI);
}
else
{
segI = result.block(2, i-2, i-2);
}
result.setBlock(2, i-1, i-1, segI);
}
return result;
}

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@@ -1,10 +0,0 @@
#ifndef SEGIMG_H
#define SEGIMG_H
#include <Matrix.h>
namespace Recon
{
Aurora::Matrix SegImgMain(const Aurora::Matrix& aMatrix, float aImageResolution, const Aurora::Matrix& aImageStartPoint, const Aurora::Matrix& aImageEndPoint);
Aurora::Matrix SegImg(const Aurora::Matrix& aSegRes, const Aurora::Matrix& aImg, int aEndZ, float aThre3D,
float aImageResolution, const Aurora::Matrix& aImageStartPoint, const Aurora::Matrix& aImageEndPoint);
}
#endif //SEGIMG_H

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@@ -1,218 +0,0 @@
#include "SegImgFunction.h"
#include <opencv2/opencv.hpp>
#include "Function3D.h"
using namespace Recon;
Aurora::Matrix Recon::maxConnRegoin(const Aurora::Matrix& aMatrix)
{
int column = aMatrix.getDimSize(0);
int row = aMatrix.getDimSize(1);
size_t size = column * row;
uint8_t* data = new uint8_t[size];
std::copy(aMatrix.getData(), aMatrix.getData() + size, data);
cv::Mat src = cv::Mat(row, column, CV_8U, data);
cv::Mat labels, stats, centroids;;
int nLabels = connectedComponentsWithStats(src, labels,stats,centroids, 4, CV_32S);
if(nLabels<=1)
{
return Aurora::Matrix();
}
int maxArea = 0;
int maxAreaIndex = 1;
for (int i = 1; i < nLabels; ++i)
{
int area = stats.at<int>(i, cv::CC_STAT_AREA);
if (area > maxArea) {
maxArea = area;
maxAreaIndex = i;
}
}
Aurora::Matrix result = Aurora::zeros(column, row);
for(int i=0; i<row; ++i)
{
for(int j=0; j<column; ++j)
{
if (labels.at<int>(i, j) == maxAreaIndex)
{
result[i*column + j] = 1;
}
}
}
return result;
}
Aurora::Matrix Recon::imfill(const Aurora::Matrix& aMatrix)
{
int width = aMatrix.getDimSize(0);
int height = aMatrix.getDimSize(1);
size_t dataSize = aMatrix.getDataSize();
uint8_t* data = new uint8_t[aMatrix.getDataSize()];
std::copy(aMatrix.getData(), aMatrix.getData() + dataSize, data);
cv::Mat src = cv::Mat(height, width, CV_8U, data);
cv::Mat inv = 1 - src;
cv::Mat labels;
int nLabels = connectedComponents(inv, labels, 8, CV_32S);
cv::Mat filled = src.clone();
std::vector<bool> isHole(nLabels, true);
int rows = src.rows;
int cols = src.cols;
for (int x = 0; x < cols; x++) {
isHole[ labels.at<int>(0, x) ] = false;
isHole[ labels.at<int>(rows-1, x) ] = false;
}
for (int y = 0; y < rows; y++) {
isHole[ labels.at<int>(y, 0) ] = false;
isHole[ labels.at<int>(y, cols-1) ] = false;
}
for (int y = 0; y < rows; y++) {
for (int x = 0; x < cols; x++) {
int label = labels.at<int>(y, x);
if (isHole[label]) {
filled.at<uchar>(y, x) = 1;
}
}
}
float* resultData = new float[aMatrix.getDataSize()];
std::copy(filled.data, filled.data + dataSize, resultData);
Aurora::Matrix result = Aurora::Matrix::fromRawData(resultData, width, height);
delete[] data;
return result;
}
Aurora::Matrix Recon::bwconvhull(const Aurora::Matrix& aMatrix)
{
int width = aMatrix.getDimSize(0);
int height = aMatrix.getDimSize(1);
size_t dataSize = aMatrix.getDataSize();
uint8_t* data = new uint8_t[aMatrix.getDataSize()];
std::copy(aMatrix.getData(), aMatrix.getData() + dataSize, data);
cv::Mat input = cv::Mat(height, width, CV_8U, data);
std::vector<cv::Point> points;
cv::findNonZero(input, points);
if (points.empty())
{
delete[] data;
return Aurora::zeros(width, height);;
}
std::vector<cv::Point> hull;
cv::convexHull(points, hull);
cv::Mat hullMask = cv::Mat::zeros(input.size(), CV_8UC1);
cv::fillConvexPoly(hullMask, hull, cv::Scalar(1));
float* resultData = new float[aMatrix.getDataSize()];
std::copy(hullMask.data, hullMask.data + dataSize, resultData);
Aurora::Matrix result = Aurora::Matrix::fromRawData(resultData, width, height);
delete[] data;
return result;
}
KmeansResult Recon::kmeans(const Aurora::Matrix& aMatrix, int aClusNum)
{
KmeansResult result;
auto input = aMatrix.deepCopy();
size_t dataSize = input.getDataSize();
cv::Mat data(dataSize, 1, CV_32F, input.getData());
int k = aClusNum;
cv::Mat labels;
cv::Mat centers;
cv::TermCriteria criteria(cv::TermCriteria::EPS + cv::TermCriteria::MAX_ITER, 100, 1e-6);
int attempts = 5;
int flags = cv::KMEANS_PP_CENTERS;
double compactness = cv::kmeans(data, k, labels, criteria, attempts, flags, centers);
// std::cout << "聚类中心: " << std::endl << centers << std::endl;
// std::cout << "紧密度: " << compactness << std::endl;
float* labelDataResult = new float[dataSize];
float* centerPointDataResult = new float[k];
int* labelData = reinterpret_cast<int*>(labels.data);
float* centerPointData = reinterpret_cast<float*>(centers.data);
std::copy(labelData, labelData + dataSize, labelDataResult);
std::copy(centerPointData, centerPointData + k, centerPointDataResult);
Aurora::Matrix label = Aurora::Matrix::fromRawData(labelDataResult, dataSize, 1) + 1;
Aurora::Matrix center = Aurora::Matrix::fromRawData(centerPointDataResult, k, 1);
result.Label = label;
result.CenterPoint = center;
return result;
}
Aurora::Matrix Recon::imerode(const Aurora::Matrix& aMatrix)
{
float* data = aMatrix.getData();
unsigned int width = aMatrix.getDimSize(0);
unsigned int heigh = aMatrix.getDimSize(1);
unsigned int dataSize = width * heigh;
cv::Mat kernel = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(3,3));
cv::Mat mat(heigh, width, CV_32F, data );
cv::Mat out;
cv::erode(mat, out, kernel);
float* outData = reinterpret_cast<float*>(out.data);
float* resultData = new float[dataSize];
std::copy(outData, outData + dataSize, resultData);
return Aurora::Matrix::fromRawData(resultData, width, heigh);
}
Aurora::Matrix Recon::imdilate(const Aurora::Matrix& aMatrix)
{
float* data = aMatrix.getData();
unsigned int width = aMatrix.getDimSize(0);
unsigned int heigh = aMatrix.getDimSize(1);
unsigned int dataSize = width * heigh;
cv::Mat kernel = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(3,3));
cv::Mat mat(heigh, width, CV_32F, data );
cv::Mat out;
cv::dilate(mat, out, kernel);
float* outData = reinterpret_cast<float*>(out.data);
float* resultData = new float[dataSize];
std::copy(outData, outData + dataSize, resultData);
return Aurora::Matrix::fromRawData(resultData, width, heigh);
}
Aurora::Matrix Recon::downSample(const Aurora::Matrix& aMatrix)
{
int row = aMatrix.getDimSize(0);
int column = aMatrix.getDimSize(1);
int slice = aMatrix.getDimSize(2);
int newRow = (row + 3) / 4;
int newColumn = (column +3) / 4;
int newSlice = (slice + 3) / 4;
float* resultData = new float[newColumn * newRow * newSlice];
for (int s = 0; s < newSlice; ++s)
{
int oldSlice = s * 4;
if (oldSlice >= slice) oldSlice = slice - 1;
for (int c = 0; c < newColumn; ++c)
{
int oldColumn = c * 4;
if (oldColumn >= column) oldColumn = column - 1;
for (int r = 0; r < newRow; ++r)
{
int oldRow = r * 4;
if (oldRow >= row) oldRow = row - 1;
resultData[s * newRow * newColumn + c * newRow + r] = aMatrix.getData()[oldSlice * row * column + oldColumn * row + oldRow];
}
}
}
return Aurora::Matrix::fromRawData(resultData, newRow, newColumn, newSlice);
}

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#ifndef SEGIMGFUNCTION_H
#define SEGIMGFUNCTION_H
#include <Matrix.h>
namespace Recon
{
struct KmeansResult
{
Aurora::Matrix Label;
Aurora::Matrix CenterPoint;
};
Aurora::Matrix maxConnRegoin(const Aurora::Matrix& aMatrix);
Aurora::Matrix imfill(const Aurora::Matrix& aMatrix);
Aurora::Matrix bwconvhull(const Aurora::Matrix& aMatrix);
Aurora::Matrix imdilate(const Aurora::Matrix& aMatrix);
KmeansResult kmeans(const Aurora::Matrix& aMatrix, int aClusNum);
Aurora::Matrix imerode(const Aurora::Matrix& aMatrix);
Aurora::Matrix downSample(const Aurora::Matrix& aMatrix);
}
#endif //SEGIMGFUNCTION_H

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#include "maxConnectedComponent3D.cuh"
#include <cuda_runtime.h>
#include <cstdio>
#include <cstdint>
#include <unordered_set>
#include <unordered_map>
#include <vector>
#include <algorithm>
#define INDEX(x,y,z,W,C,S) ((x)*(C) + (y) + (z)*(W)*(C))
__constant__ int NEIGH_OFFS[26*3];
static int HOST_OFFSET[26*3];
__global__ void floatToMask(const float* __restrict__ in,
uint8_t* __restrict__ mask,
int W, int C, int S)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int z = blockIdx.z * blockDim.z + threadIdx.z;
if (x>=W || y>=C || z>=S) return;
size_t idx = INDEX(x,y,z,W,C,S);
float v = in[idx];
mask[idx] = (v > 0.5f) ? 1 : 0;
}
__global__ void initLabels(const uint8_t* __restrict__ mask,
uint32_t* __restrict__ labels,
int W, int C, int S)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int z = blockIdx.z * blockDim.z + threadIdx.z;
if (x>=W || y>=C || z>=S) return;
size_t idx = INDEX(x,y,z,W,C,S);
labels[idx] = mask[idx] ? (uint32_t)(idx + 1) : 0u;
}
__global__ void propagateLabels(const uint8_t* __restrict__ mask,
uint32_t* __restrict__ labels,
int W, int C, int S,
int* __restrict__ d_changed)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int z = blockIdx.z * blockDim.z + threadIdx.z;
if (x>=W || y>=C || z>=S) return;
size_t idx = INDEX(x,y,z,W,C,S);
if (!mask[idx]) return;
uint32_t cur = labels[idx];
uint32_t minLabel = cur;
// 遍历 26 邻域
#pragma unroll
for (int k = 0; k < 26; ++k)
{
int nx = x + NEIGH_OFFS[3*k + 0];
int ny = y + NEIGH_OFFS[3*k + 1];
int nz = z + NEIGH_OFFS[3*k + 2];
if ((unsigned)nx < (unsigned)W &&
(unsigned)ny < (unsigned)C &&
(unsigned)nz < (unsigned)S)
{
size_t nidx = INDEX(nx,ny,nz,W,C,S);
if (mask[nidx]) {
uint32_t nl = labels[nidx];
if (nl != 0u && nl < minLabel) minLabel = nl;
}
}
}
if (minLabel < cur)
{
labels[idx] = minLabel;
*d_changed = 1;
}
}
__global__ void writeLargestComponent(const uint32_t* __restrict__ labels,
float* __restrict__ out,
uint32_t keep_label,
int W, int C, int S)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int z = blockIdx.z * blockDim.z + threadIdx.z;
if (x>=W || y>=C || z>=S) return;
size_t idx = INDEX(x,y,z,W,C,S);
out[idx] = (labels[idx] == keep_label) ? 1.0f : 0.0f;
}
static uint32_t findLargestLabel(const std::vector<uint32_t>& h_labels)
{
std::unordered_map<uint32_t, uint32_t> cnt;
cnt.reserve(h_labels.size()/16 + 1);
for (auto L : h_labels) {
if (L) ++cnt[L];
}
uint32_t best_label = 0;
uint32_t best_size = 0;
for (auto& kv : cnt) {
if (kv.second > best_size) {
best_size = kv.second;
best_label = kv.first;
}
}
return best_label;
}
unsigned int bwconncomp3D(const Aurora::Matrix aInput, int max_iters)
{
int W = aInput.getDimSize(0);
int C = aInput.getDimSize(1);
int S = aInput.getDimSize(2);
float* inVol = aInput.getData();
size_t N = W * C * S;
if (S <= 1) return 0;
{
int t = 0;
for (int dz = -1; dz <= 1; ++dz)
for (int dx = -1; dx <= 1; ++dx)
for (int dy = -1; dy <= 1; ++dy) {
if (dx==0 && dy==0 && dz==0) continue;
HOST_OFFSET[3*t+0] = dx;
HOST_OFFSET[3*t+1] = dy;
HOST_OFFSET[3*t+2] = dz;
++t;
}
cudaMemcpyToSymbol(NEIGH_OFFS, HOST_OFFSET, sizeof(HOST_OFFSET));
}
float *d_in = nullptr, *d_out = nullptr;
uint8_t *d_mask = nullptr;
uint32_t *d_labels = nullptr;
int *d_changed = nullptr;
cudaMalloc(&d_in, N * sizeof(float));
cudaMalloc(&d_out, N * sizeof(float));
cudaMalloc(&d_mask, N * sizeof(uint8_t));
cudaMalloc(&d_labels, N * sizeof(uint32_t));
cudaMalloc(&d_changed,sizeof(int));
cudaMemcpy(d_in, inVol, N*sizeof(float), cudaMemcpyHostToDevice);
dim3 block(8,8,8);
dim3 grid( (W+block.x-1)/block.x,
(C+block.y-1)/block.y,
(S+block.z-1)/block.z );
floatToMask<<<grid, block>>>(d_in, d_mask, W, C, S);
initLabels<<<grid, block>>>(d_mask, d_labels, W, C, S);
int h_changed = 0;
int iter = 0;
do
{
h_changed = 0;
cudaMemcpy(d_changed, &h_changed, sizeof(int), cudaMemcpyHostToDevice);
propagateLabels<<<grid, block>>>(d_mask, d_labels, W, C, S, d_changed);
cudaMemcpy(&h_changed, d_changed, sizeof(int), cudaMemcpyDeviceToHost);
++iter;
if (iter >= max_iters)
{
fprintf(stderr, "[Warn] Reached max_iters=%d before convergence.\n", max_iters);
break;
}
} while (h_changed != 0);
std::vector<uint32_t> h_labels(N);
cudaMemcpy(h_labels.data(), d_labels, N*sizeof(uint32_t), cudaMemcpyDeviceToHost);
std::unordered_set<uint32_t> uniqueSet(h_labels.begin(), h_labels.end());
return uniqueSet.size() - 1;
}
Aurora::Matrix maxConnectedComponent3D(const Aurora::Matrix aInput, int max_iters)
{
int W = aInput.getDimSize(0);
int C = aInput.getDimSize(1);
int S = aInput.getDimSize(2);
float* inVol = aInput.getData();
size_t N = W * C * S;
if (S <= 1) return Aurora::Matrix();
{
int t = 0;
for (int dz = -1; dz <= 1; ++dz)
for (int dx = -1; dx <= 1; ++dx)
for (int dy = -1; dy <= 1; ++dy) {
if (dx==0 && dy==0 && dz==0) continue;
HOST_OFFSET[3*t+0] = dx;
HOST_OFFSET[3*t+1] = dy;
HOST_OFFSET[3*t+2] = dz;
++t;
}
cudaMemcpyToSymbol(NEIGH_OFFS, HOST_OFFSET, sizeof(HOST_OFFSET));
}
float *d_in = nullptr, *d_out = nullptr;
uint8_t *d_mask = nullptr;
uint32_t *d_labels = nullptr;
int *d_changed = nullptr;
cudaMalloc(&d_in, N * sizeof(float));
cudaMalloc(&d_out, N * sizeof(float));
cudaMalloc(&d_mask, N * sizeof(uint8_t));
cudaMalloc(&d_labels, N * sizeof(uint32_t));
cudaMalloc(&d_changed,sizeof(int));
cudaMemcpy(d_in, inVol, N*sizeof(float), cudaMemcpyHostToDevice);
dim3 block(8,8,8);
dim3 grid( (W+block.x-1)/block.x,
(C+block.y-1)/block.y,
(S+block.z-1)/block.z );
floatToMask<<<grid, block>>>(d_in, d_mask, W, C, S);
initLabels<<<grid, block>>>(d_mask, d_labels, W, C, S);
int h_changed = 0;
int iter = 0;
do
{
h_changed = 0;
cudaMemcpy(d_changed, &h_changed, sizeof(int), cudaMemcpyHostToDevice);
propagateLabels<<<grid, block>>>(d_mask, d_labels, W, C, S, d_changed);
cudaMemcpy(&h_changed, d_changed, sizeof(int), cudaMemcpyDeviceToHost);
++iter;
if (iter >= max_iters)
{
fprintf(stderr, "[Warn] Reached max_iters=%d before convergence.\n", max_iters);
break;
}
} while (h_changed != 0);
std::vector<uint32_t> h_labels(N);
cudaMemcpy(h_labels.data(), d_labels, N*sizeof(uint32_t), cudaMemcpyDeviceToHost);
uint32_t keep_label = findLargestLabel(h_labels);
writeLargestComponent<<<grid, block>>>(d_labels, d_out, keep_label, W, C, S);
float* outputData = new float[N];
cudaMemcpy(outputData, d_out, N*sizeof(float), cudaMemcpyDeviceToHost);
cudaFree(d_in);
cudaFree(d_out);
cudaFree(d_mask);
cudaFree(d_labels);
cudaFree(d_changed);
return Aurora::Matrix::fromRawData(outputData, W, C, S);
}

View File

@@ -1,5 +0,0 @@
#include <Matrix.h>
Aurora::Matrix maxConnectedComponent3D(const Aurora::Matrix aInput, int max_iters = 5000);
unsigned int bwconncomp3D(const Aurora::Matrix aInput, int max_iters = 5000);

View File

@@ -0,0 +1,143 @@
#include "estimateSOSWater.h"
#include "Function1D.cuh"
#include "Function1D.h"
#include "Function3D.h"
#include "Matrix.h"
#include "CudaMatrix.h"
#include "common/dataBlockCreation/getAscanBlock.h"
#include "common/getMeasurementMetaData.h"
#include "transmissionReconstruction/detection/getTransmissionData.cuh"
#include "transmissionReconstruction/detection/detection.h"
#include "config/config.h"
#include "config/geometryConfig.h"
#include "Function2D.cuh"
#include "Function2D.h"
#include "common/dataBlockCreation/getAscanBlock.h"
#include "common/dataBlockCreation/removeDataFromArrays.h"
#include "log/log.h"
#include <cstring>
using namespace Recon;
namespace
{
const Aurora::Matrix EMIT_TAS = Aurora::Matrix::fromRawData(new float[17]{94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110}, 17);
const Aurora::Matrix RECEIVE_TAS = Aurora::Matrix::fromRawData(new float[17]{103, 104, 105, 106, 107, 108, 109, 110, 94, 95, 96, 97, 98, 99, 100, 101, 102}, 17);
const Aurora::Matrix ALL_RECEIVER_TAS_LIST = Aurora::Matrix::fromRawData(new float[128] {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128},128); //1~128
const Aurora::Matrix ALL_RECEIVER_ELEMENT_LIST = Aurora::Matrix::fromRawData(new float[18] {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18},18);
const float THRE = 0.5;
inline int findIndexFromEmitterAndReceiver(const Aurora::Matrix& aEmitter, float aEmitterValue, const Aurora::Matrix& aReceiver, float aReceiverValue)
{
for (int i = 0; i < aEmitter.getDataSize(); ++i)
{
if (aEmitter[i] == aEmitterValue && aReceiver[i] == aReceiverValue)
{
return i;
}
}
return -1;
}
Aurora::Matrix matchFilt(const Aurora::CudaMatrix& aSig, const Aurora::CudaMatrix& aMod)
{
Aurora::CudaMatrix fftMod = fft(aMod);
Aurora::CudaMatrix fftSig = fft(aSig);
Aurora::CudaMatrix mfFftSig = getTransmissionDataSubFunction(fftSig, fftMod);
Aurora::Matrix mfSig = Aurora::real(ifft(mfFftSig)).toHostMatrix();
std::memmove(mfSig.getData(), mfSig.getData() + 1, (mfSig.getDataSize() - 1) * sizeof(float));
return mfSig;
}
Aurora::Matrix addWin(const Aurora::Matrix& aSig, float aOffset, float aMinSos, float aMaxSos, float aDist, float aFq)
{
float offset = aOffset * aFq;
int start_ = round(aDist / aMaxSos * aFq);
int end_ = round(aDist / aMinSos * aFq);
float start = start_ + offset;
float end = end_ + offset;
Aurora::Matrix result = Aurora::zeros(aSig.getDimSize(0), aSig.getDimSize(1));
result.setBlock(0, start-1, end-1, aSig.block(0, start-1, end-1));
return result;
}
inline int findFirstvalueGreaterThanGivenValue(const Aurora::Matrix& aMatrix, float aValue)
{
for(int i=0; i<aMatrix.getDataSize(); ++i)
{
if(aMatrix[i] > aValue)
{
return i;
}
}
return -1;
}
}
Aurora::Matrix Recon::estimateSOSWater(Parser *aParser, const CEInfo &aCE, const PreComputes& aPreComputes)
{
float offset = -aPreComputes.offset;
float thre = 0.99;
Aurora::Matrix tof = Aurora::zeros(1, EMIT_TAS.getDataSize() * 18 * 18);
Aurora::Matrix distance = tof.deepCopy();
Aurora::Matrix mp = Aurora::Matrix::fromRawData(new float[1]{1}, 1);
Aurora::Matrix snMatrix = Aurora::Matrix::fromRawData(new float[18]{1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18}, 18);
for(int idx=0; idx<EMIT_TAS.getDataSize(); ++idx)
{
Aurora::Matrix slMatrix = Aurora::Matrix::fromRawData(new float[1]{EMIT_TAS[idx]}, 1);
AscanBlock ascanTotal = getAscanBlock(aParser, mp, slMatrix, snMatrix, ALL_RECEIVER_TAS_LIST, ALL_RECEIVER_ELEMENT_LIST);
#pragma omp parallel for
for(int sn=1; sn<=18; ++sn)
{
// Aurora::Matrix snMatrix = Aurora::Matrix::fromRawData(new float[1]{sn}, 1);
// Aurora::Matrix slMatrix = Aurora::Matrix::fromRawData(new float[1]{EMIT_TAS[idx]}, 1);
// AscanBlock ascan = getAscanBlock(aParser, mp, slMatrix, snMatrix, ALL_RECEIVER_TAS_LIST, ALL_RECEIVER_ELEMENT_LIST);
// size_t dataSize = ascan.ascanBlock.getDataSize();
// short* data = new short[dataSize];
// std::copy(ascan.ascanBlock.getData(), ascan.ascanBlock.getData() + dataSize, data);
// Aurora::Matrix rfSet = Aurora::convertfp16tofloat(data, ascan.ascanBlock.getDimSize(0), ascan.ascanBlock.getDimSize(1));
// delete[] data;
// Aurora::CudaMatrix rfSetDevice = rfSet.toDeviceMatrix() / ascan.gainBlock.toDeviceMatrix();
//AscanBlock ascan = getAscanBlock(aParser, mp, slMatrix, snMatrix, ALL_RECEIVER_TAS_LIST, ALL_RECEIVER_ELEMENT_LIST);
size_t dataSize = ascanTotal.ascanBlock.getDataSize() / 18;
short* data = new short[dataSize];
std::copy(ascanTotal.ascanBlock.getData() + (sn - 1) * dataSize, ascanTotal.ascanBlock.getData() + sn * dataSize, data);
Aurora::Matrix rfSet = Aurora::convertfp16tofloat(data, ascanTotal.ascanBlock.getDimSize(0), ascanTotal.ascanBlock.getDimSize(1) / 18);
delete[] data;
Aurora::CudaMatrix rfSetDevice = rfSet.toDeviceMatrix() / ascanTotal.gainBlock.block(1, sn-1, sn-1).toDeviceMatrix();
for(int rn=1; rn<=18; ++rn)
{
int cnt = idx * 18 * 18 + 18 * (sn - 1) + rn - 1;
Aurora::Matrix positionOfEmitter = emitterPositions[EMIT_TAS[idx]-1](sn-1).toMatrix();
Aurora::Matrix positionOfReceiver = emitterPositions[RECEIVE_TAS[idx]-1](rn-1).toMatrix();
distance[cnt] = Aurora::norm(positionOfEmitter - positionOfReceiver, Aurora::Norm2);
int rfIndex = findIndexFromEmitterAndReceiver(aCE.tasIndices, RECEIVE_TAS[idx], aCE.receiverIndices, rn);
Aurora::CudaMatrix rf = rfSetDevice.block(1, rfIndex, rfIndex);
Aurora::Matrix rfMf;
if(aPreComputes.matchedFilter.getDimSize(1) == 1) //Use CE
{
rfMf = matchFilt(rf, Aurora::real(ifft(aPreComputes.matchedFilter.toDeviceMatrix())));
}
else // Use CEM
{
rfMf = matchFilt(rf, Aurora::real(ifft(aPreComputes.matchedFilter.block(1, rfIndex, rfIndex).toDeviceMatrix())));
}
Aurora::Matrix rfWin = addWin(rfMf, transParams::offsetElectronic, transParams::minSpeedOfSound, transParams::maxSpeedOfSound, distance[cnt], transParams::aScanReconstructionFrequency);
Aurora::Matrix rfEnv = Aurora::abs(Aurora::hilbert(rfWin));
Aurora::Matrix rfNorm = rfEnv / Aurora::max(rfEnv);
tof[cnt] = findFirstvalueGreaterThanGivenValue(rfNorm, thre) + 1;
}
}
}
tof = offset + tof/transParams::aScanReconstructionFrequency;
Aurora::Matrix sosRough = distance / tof;
Aurora::Matrix mu = Aurora::mean(sosRough);
Aurora::Matrix sigma = Aurora::std(sosRough);
Aurora::Matrix idx_ = Aurora::abs(sosRough - mu) <= sigma;
Aurora::Matrix sosClean = removeDataFromArrays(sosRough, idx_);
Aurora::Matrix sos = mean(sosClean);
RECON_INFO("SOS Value");
RECON_INFO(std::to_string(sos[0]));
return sos;
}

View File

@@ -8,7 +8,7 @@ class Parser;
namespace Recon
{
Aurora::Matrix estimateSOSWater(Parser* aParser, const CEInfo& aCE);
Aurora::Matrix estimateSOSWater(Parser* aParser, const CEInfo& aCE, const PreComputes& aPreComputes);
}
#endif

View File

@@ -0,0 +1,11 @@
#include "getSoundSpeedWaterValue.h"
#include "estimateSOSWater.h"
using namespace Recon;
SOSInfo Recon::getSoundSpeedWaterValue(Parser* aParser, const CEInfo& aCE, const PreComputes& aPreComputes)
{
SOSInfo result;
result.expectedSOSWater = Recon::estimateSOSWater(aParser, aCE, aPreComputes);
return result;
}

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@@ -0,0 +1,19 @@
#ifndef GET_SOUND_SPEED_WATER_VALUE_H
#define GET_SOUND_SPEED_WATER_VALUE_H
#include "Matrix.h"
#include "common/getMeasurementMetaData.h"
class Parser;
struct SOSInfo
{
Aurora::Matrix expectedSOSWater;
};
namespace Recon
{
SOSInfo getSoundSpeedWaterValue(Parser* aParser, const CEInfo& aCE, const PreComputes& aPreComputes);
}
#endif

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@@ -0,0 +1,29 @@
#include "temperatureToSoundSpeed.h"
#include "estimateSOSWater.h"
#include "Function1D.h"
using namespace Recon;
Aurora::Matrix Recon::temperatureToSoundSpeed(const Aurora::Matrix& aTemperature, const std::string& aMethod)
{
Aurora::Matrix result;
if (aMethod == "marczak")
{
float* kData = new float[6] {2.78786e-9, -1.398845e-6, 3.287156e-4, -5.799136e-2, 5.038813, 1.402385e3};
Aurora::Matrix k = Aurora::Matrix::fromRawData(kData, 6);
result = polyval(k, aTemperature);
}
else if(aMethod == "mader")
{
float* kData = new float[6] {3.14643e-9, -1.478e-6, 0.000334199, -0.0580852, 5.03711, 1402.39};
Aurora::Matrix k = Aurora::Matrix::fromRawData(kData, 6);
result = polyval(k, aTemperature);
}
else if(aMethod == "jan")
{
float speedData = 1557 - 0.0245 * pow((74 - aTemperature.getData()[0]), 2);
result = Aurora::Matrix::fromRawData(new float[1] {speedData}, 1);
}
return result;
}

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@@ -0,0 +1,11 @@
#ifndef TEMPERATURE_TO_SOUND_SPEED_H
#define TEMPERATURE_TO_SOUND_SPEED_H
#include "Matrix.h"
namespace Recon
{
Aurora::Matrix temperatureToSoundSpeed(const Aurora::Matrix& aTemperature, const std::string& aMethod);
}
#endif

View File

@@ -17,7 +17,7 @@
#include "ceMatchedFilterHandling.h"
#include "ShotList/ShotList.h"
#include "config/config.h"
#include "temperatureCalculation/estimateSOSWater.h"
#include "common/SoundSpeedWaterCalculation/getSoundSpeedWaterValue.h"
using namespace Recon;
@@ -127,36 +127,13 @@ TransFormInfo Recon::getTransformationMatrix(Parser* aParser, const Matrix& aMot
return result;
}
Matrix Recon::temperatureToSoundSpeed(const Matrix& aTemperature, const std::string& aMethod)
{
Matrix result;
if (aMethod == "marczak")
{
float* kData = new float[6] {2.78786e-9, -1.398845e-6, 3.287156e-4, -5.799136e-2, 5.038813, 1.402385e3};
Matrix k = Matrix::fromRawData(kData, 6);
result = polyval(k, aTemperature);
}
else if(aMethod == "mader")
{
float* kData = new float[6] {3.14643e-9, -1.478e-6, 0.000334199, -0.0580852, 5.03711, 1402.39};
Matrix k = Matrix::fromRawData(kData, 6);
result = polyval(k, aTemperature);
}
else if(aMethod == "jan")
{
float speedData = 1557 - 0.0245 * pow((74 - aTemperature.getData()[0]), 2);
result = Matrix::fromRawData(new float[1] {speedData}, 1);
}
return result;
}
//已验证,完全正确
TempInfo Recon::getTemperatureInfo(Parser* aParser, const CEInfo& aCEInfo)
{
TempInfo result;
result.expectedSOSWater = estimateSOSWater(aParser,aCEInfo);
return result;
}
//该版本删除该函数
// TempInfo Recon::getTemperatureInfo(Parser* aParser, const CEInfo& aCEInfo, const PreComputes& aPreComputes)
// {
// TempInfo result;
// result.expectedSOSWater = getSoundSpeedWaterValue(aParser,aCEInfo, aPreComputes);
// return result;
// }
//已验证 完全正确
CEInfo Recon::getCEInfo(Parser* aParser, const MeasurementInfo aInfo)

View File

@@ -71,9 +71,8 @@ namespace Recon
Aurora::Matrix getAvailableMotorPositions(Parser* aParser);
MeasurementInfo loadMeasurementInfos(Parser* aParser);
TransFormInfo getTransformationMatrix(Parser* aParser, const Aurora::Matrix& aMotorPosList);
TempInfo getTemperatureInfo(Parser* aParser, const CEInfo& aCEInfo);
//TempInfo getTemperatureInfo(Parser* aParser, const CEInfo& aCEInfo, const PreComputes& aPreComputes);
CEInfo getCEInfo(Parser* aParser, const MeasurementInfo aInfo);
Aurora::Matrix temperatureToSoundSpeed(const Aurora::Matrix& aTemperature, const std::string& aMethod);
}
#endif // !GET_MEASUREMENT_METADATA_H

View File

@@ -1,102 +0,0 @@
#include "estimateSOSWater.h"
#include "Function1D.cuh"
#include "Function1D.h"
#include "Matrix.h"
#include "CudaMatrix.h"
#include "common/dataBlockCreation/getAscanBlock.h"
#include "transmissionReconstruction/detection/getTransmissionData.cuh"
#include "transmissionReconstruction/detection/detection.h"
#include "config/config.h"
#include "config/geometryConfig.h"
#include "Function2D.cuh"
#include "Function2D.h"
#include "common/dataBlockCreation/getAscanBlock.h"
#include <cstring>
using namespace Recon;
namespace
{
const Aurora::Matrix EMIT_TAS = Aurora::Matrix::fromRawData(new float[17]{94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110}, 17);
const Aurora::Matrix RECEIVE_TAS = Aurora::Matrix::fromRawData(new float[17]{103, 104, 105, 106, 107, 108, 109, 110, 94, 95, 96, 97, 98, 99, 100, 101, 102}, 17);
const Aurora::Matrix ALL_RECEIVER_TAS_LIST = Aurora::Matrix::fromRawData(new float[128] {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128},128); //1~128
const Aurora::Matrix ALL_RECEIVER_ELEMENT_LIST = Aurora::Matrix::fromRawData(new float[18] {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18},18);
const float SOS_INITIAL = 1509.3;
const float THRE = 0.5;
inline int findIndexFromEmitterAndReceiver(const Aurora::Matrix& aEmitter, float aEmitterValue, const Aurora::Matrix& aReceiver, float aReceiverValue)
{
for (int i = 0; i < aEmitter.getDataSize(); ++i)
{
if (aEmitter[i] == aEmitterValue && aReceiver[i] == aReceiverValue)
{
return i;
}
}
return -1;
}
Aurora::Matrix matchFilt(const Aurora::CudaMatrix& aSig, const Aurora::CudaMatrix& aMod)
{
Aurora::CudaMatrix fftMod = fft(aMod);
Aurora::CudaMatrix fftSig = fft(aSig);
Aurora::CudaMatrix mfFftSig = getTransmissionDataSubFunction(fftSig, fftMod);
Aurora::Matrix mfSig = Aurora::real(ifft(mfFftSig)).toHostMatrix();
std::memmove(mfSig.getData(), mfSig.getData() + 1, (mfSig.getDataSize() - 1) * sizeof(float));
return mfSig;
}
inline int findFirstvalueGreaterThanGivenValue(const Aurora::Matrix& aMatrix, float aValue)
{
for(int i=0; i<aMatrix.getDataSize(); ++i)
{
if(aMatrix[i] > aValue)
{
return i;
}
}
return -1;
}
}
Aurora::Matrix Recon::estimateSOSWater(Parser *aParser, const CEInfo &aCE)
{
int offset = transParams::priorWvOffset;
int rn = 18;
int emitterSize = EMIT_TAS.getDataSize();
Aurora::Matrix distance = Aurora::Matrix::fromRawData(new float[emitterSize]{0}, emitterSize);
Aurora::Matrix mp = Aurora::Matrix::fromRawData(new float[1]{1}, 1);
Aurora::Matrix sn = Aurora::Matrix::fromRawData(new float[1]{18}, 1);
Aurora::Matrix tof = Aurora::Matrix::fromRawData(new float[emitterSize], 1, emitterSize);
float snValue = 18;
#pragma omp parallel for
for(int i=0; i<emitterSize; ++i)
{
Aurora::Matrix sl = Aurora::Matrix::fromRawData(new float[1]{EMIT_TAS[i]}, 1);
float slValue = EMIT_TAS[i];
float rl = RECEIVE_TAS[i];
Aurora::Matrix positionOfEmitter = emitterPositions[slValue-1](snValue-1).toMatrix();
Aurora::Matrix positionOfReceiver = emitterPositions[rl-1](rn-1).toMatrix();
distance[i] = Aurora::norm(positionOfEmitter - positionOfReceiver, Aurora::Norm2);
AscanBlock ascan = getAscanBlock(aParser, mp, sl, sn, ALL_RECEIVER_TAS_LIST, ALL_RECEIVER_ELEMENT_LIST);
size_t dataSize = ascan.ascanBlock.getDataSize();
short* data = new short[dataSize];
std::copy(ascan.ascanBlock.getData(), ascan.ascanBlock.getData() + dataSize, data);
Aurora::Matrix rf = Aurora::convertfp16tofloat(data, ascan.ascanBlock.getDimSize(0), ascan.ascanBlock.getDimSize(1));
delete[] data;
Aurora::CudaMatrix rfDevice = rf.toDeviceMatrix() / ascan.gainBlock.toDeviceMatrix();
int rfIndex = findIndexFromEmitterAndReceiver(aCE.tasIndices, rl, aCE.receiverIndices, rn);
rfDevice = rfDevice.block(1, rfIndex, rfIndex);
Aurora::Matrix rfMf = matchFilt(rfDevice, aCE.ceRef.toDeviceMatrix());
Aurora::Matrix rfWin = applyTimeWindowing(rfMf, transParams::aScanReconstructionFrequency, distance(i).toMatrix(), SOS_INITIAL,
transParams::offsetElectronic * transParams::aScanReconstructionFrequency, transParams::detectionWindowSOS,
transParams::minSpeedOfSound, transParams::maxSpeedOfSound, transParams::gaussWindow).AscanBlockProcessed;
Aurora::Matrix rfEnv = abs(Aurora::hilbert(rfWin));
Aurora::Matrix rfNorm = rfEnv / max(rfEnv);
tof[i] = findFirstvalueGreaterThanGivenValue(rfNorm, THRE) + 1;
}
tof = (tof + offset) / transParams::aScanReconstructionFrequency;
auto sos = mean(distance / tof);
return sos;
}

View File

@@ -18,7 +18,7 @@ using namespace Recon;
PreprocessReflectionData Recon::preprocessTransmissionReconstructionForReflection(const Aurora::Matrix& aSOSMap, const Aurora::Matrix& aATTMap,
const Aurora::Matrix& aDdims, const GeometryInfo& aGeometryInfo,
const TempInfo& aTemp)
const SOSInfo& aSOSInfo)
{
PreprocessReflectionData result;
int soundSpeedCorrection = reflectParams::soundSpeedCorrection;
@@ -57,7 +57,7 @@ PreprocessReflectionData Recon::preprocessTransmissionReconstructionForReflectio
{
if(std::abs(sppedMap3d[i]) < 1)
{
sppedMap3d[i] = aTemp.expectedSOSWater[0];
sppedMap3d[i] = aSOSInfo.expectedSOSWater[0];
}
}
result.transRecos.speedMap3D = sppedMap3d;
@@ -116,7 +116,7 @@ PreprocessReflectionData Recon::preprocessTransmissionReconstructionForReflectio
// transRecos.SpeedMap3D = reshape(temperatureToSoundSpeed(polyvaln(temp.TemperatureModel4D.p,[XNEW(:),YNEW(:), ZNEW(:), zeros(size(XNEW(:)))])),size(XNEW));
// catch
result.transRecos.speedMap3D = zeros(x.getDimSize(1), y.getDimSize(1), z.getDimSize(1)) + aTemp.expectedSOSWater;
result.transRecos.speedMap3D = zeros(x.getDimSize(1), y.getDimSize(1), z.getDimSize(1)) + aSOSInfo.expectedSOSWater;
result.transRecos.beginTransMap = begin_TransMap;

View File

@@ -4,6 +4,7 @@
#include "Matrix.h"
#include "common/getGeometryInfo.h"
#include "common/getMeasurementMetaData.h"
#include "common/SoundSpeedWaterCalculation/getSoundSpeedWaterValue.h"
namespace Recon
{
@@ -24,7 +25,7 @@ namespace Recon
};
PreprocessReflectionData preprocessTransmissionReconstructionForReflection(const Aurora::Matrix& aSOSMap, const Aurora::Matrix& aATTMap,
const Aurora::Matrix& aDdims, const GeometryInfo& aGeometryInfo,
const TempInfo& aTemp);
const SOSInfo& aSOSInfo);
}
#endif

View File

@@ -20,9 +20,10 @@
#include "common/estimatePulseLength.h"
#include "common/ceMatchedFilterHandling.h"
#include "common/createPositioningImage.h"
#include "common/estimateOffset.h"
#include "common/SoundSpeedWaterCalculation/getSoundSpeedWaterValue.h"
#include "transmissionReconstruction/startTransmissionReconstruction.h"
#include "transmissionReconstruction/saveTransmissionImagesInReflCoords.h"
#include "reflectionReconstruction/preprocessData/estimateOffset.h"
#include "reflectionReconstruction/preprocessData/precalcImageParameters.h"
#include "reflectionReconstruction/preprocessData/preprocessTransmissionReconstructionForReflection.h"
#include "reflectionReconstruction/startReflectionReconstruction.h"
@@ -86,21 +87,38 @@ int Recon::startReconstructions( const std::string& aDataPath, const std::string
float maxNumTAS = max(auroraUnion(slList, rlList)).getData()[0];
MeasurementInfo expInfo = loadMeasurementInfos(&dataParser);
CEInfo ce = getCEInfo(&dataParser, expInfo);
TempInfo temp = getTemperatureInfo(&dataParser, ce);
PreComputes preComputes;
if(ce.measuredCEUsed)
{
preComputes.matchedFilter = createMatchedFilter(ce.ce, ce.measuredCEUsed, reflectParams::findDefects, reconParams::removeOutliersFromCEMeasured, expInfo.Hardware);
}
else
{
preComputes.matchedFilter = createMatchedFilter(ce.ceRef, ce.measuredCEUsed, reflectParams::findDefects, reconParams::removeOutliersFromCEMeasured, expInfo.Hardware);
}
preComputes.timeInterval = (float)1 / reflectParams::aScanReconstructionFrequency;
preComputes.measuredCEUsed = ce.measuredCEUsed;
preComputes.measuredCE_TASIndices = ce.tasIndices;
preComputes.measuredCE_receiverIndices = ce.receiverIndices;
preComputes.offset = estimateOffset(expInfo, ce);
SOSInfo sosValue = getSoundSpeedWaterValue(&dataParser, ce, preComputes);
SOSInfo sosValueRef;
TransFormInfo transformationInfo = getTransformationMatrix(&dataParser, motorPosTotal);
Matrix transformationMatrices = transformationInfo.rotationMatrix;
Matrix motorPosAvailable = transformationInfo.motorPos;
Matrix motorPosAvailableRef;
MeasurementInfo expInfoRef;
TempInfo tempRef;
CEInfo ceRef;
Matrix transformationMatricesRef;
if(transParams::runTransmissionReco)
{
expInfoRef = loadMeasurementInfos(&refParser);
ceRef = getCEInfo(&refParser, expInfoRef);
tempRef = getTemperatureInfo(&refParser, ceRef);
sosValueRef = getSoundSpeedWaterValue(&refParser, ceRef, preComputes);
transformationInfo = getTransformationMatrix(&refParser, motorPosTotal);
transformationMatricesRef = transformationInfo.rotationMatrix;
motorPosAvailableRef = transformationInfo.motorPos;
@@ -142,18 +160,6 @@ int Recon::startReconstructions( const std::string& aDataPath, const std::string
}
GeometryInfo geom = getGeometryInfo(motorPosAvailable, transformationMatrices, rlList, rnList, slList, snList);
PreComputes preComputes;
if((reflectParams::matchedFilterCeAScan && reflectParams::runReflectionReco) || transParams::runTransmissionReco)
{
if(ce.measuredCEUsed)
{
preComputes.matchedFilter = createMatchedFilter(ce.ce, ce.measuredCEUsed, reflectParams::findDefects, reconParams::removeOutliersFromCEMeasured, expInfo.Hardware);
}
else
{
preComputes.matchedFilter = createMatchedFilter(ce.ceRef, ce.measuredCEUsed, reflectParams::findDefects, reconParams::removeOutliersFromCEMeasured, expInfo.Hardware);
}
}
if(expInfo.sampleRate != reflectParams::aScanReconstructionFrequency)
{
reflectParams::expectedAScanDataLength = ceil(expInfo.numberSamples * ((float)reflectParams::aScanReconstructionFrequency / expInfo.sampleRate));
@@ -172,15 +178,8 @@ int Recon::startReconstructions( const std::string& aDataPath, const std::string
{
preComputes.matchedFilterRef = createMatchedFilter(ceRef.ceRef, ceRef.measuredCEUsed, reflectParams::findDefects, reconParams::removeOutliersFromCEMeasured, expInfo.Hardware);
}
preComputes.timeInterval = (float)1 / reflectParams::aScanReconstructionFrequency;
preComputes.measuredCEUsed = ce.measuredCEUsed;
preComputes.measuredCE_TASIndices = ce.tasIndices;
preComputes.measuredCE_receiverIndices = ce.receiverIndices;
preComputes.offset = estimateOffset(expInfo, ce);
expInfo.matchedFilter = preComputes.matchedFilter;
expInfoRef.matchedFilter = preComputes.matchedFilterRef;
CeEstimatePulseLength ceEstimatePulseLength;
CeEstimatePulseLength ceEstimatePulseLengthRef;
if(ce.measuredCEUsed)
@@ -217,7 +216,7 @@ int Recon::startReconstructions( const std::string& aDataPath, const std::string
GeometryInfo geomRef = getGeometryInfo(motorPosAvailableRef, transformationMatricesRef, rlList, rnList, slList, snList);
RECON_INFO("Start transmissionRecostruction.");
transmissionResult = startTransmissionReconstruction(mp_inter, mpRef_inter, slList_inter, snList_inter, rlList_inter, rnList_inter, temp, tempRef, geom, geomRef, expInfo, expInfoRef, preComputes, &dataParser, &refParser);
transmissionResult = startTransmissionReconstruction(mp_inter, mpRef_inter, slList_inter, snList_inter, rlList_inter, rnList_inter, sosValue, sosValueRef, geom, geomRef, expInfo, expInfoRef, preComputes, &dataParser, &refParser);
attAvailable = true;
sosAvailable = true;
Matrix minPos = Matrix::fromRawData(new float[3],3,1,1);
@@ -238,17 +237,12 @@ int Recon::startReconstructions( const std::string& aDataPath, const std::string
Matrix recoATT = transmissionResult.recoATT;
//检测可使用内存是否足够,输出警报用,todo
//checkEnvAndMemory(reflectParams.imageInfos.IMAGE_XYZ);
auto preProcessData = preprocessTransmissionReconstructionForReflection(recoSOS, recoATT, transmissionResult.ddmis, geom, temp);
auto preProcessData = preprocessTransmissionReconstructionForReflection(recoSOS, recoATT, transmissionResult.ddmis, geom, sosValue);
Matrix mp_inter = intersect(motorPosAvailable, reflectParams::motorPos);
Matrix slList_inter = intersect(slList, reflectParams::senderTasList);
Matrix snList_inter = intersect(snList, reflectParams::senderElementList);
Matrix rlList_inter = intersect(rlList, reflectParams::receiverTasList);
Matrix rnList_inter = intersect(rnList, reflectParams::receiverElementList);
preComputes.timeInterval = (float)1 / reflectParams::aScanReconstructionFrequency;
preComputes.measuredCEUsed = ce.measuredCEUsed;
preComputes.measuredCE_TASIndices = ce.tasIndices;
preComputes.measuredCE_receiverIndices = ce.receiverIndices;
preComputes.offset = estimateOffset(expInfo, ce);
reflectParams::gpuSelectionList = reconParams::gpuSelectionList;
RECON_INFO("Start reflectionRecostruction.");

View File

@@ -82,11 +82,12 @@ namespace Recon {
}
TimeWindowResult applyTimeWindowing(const Aurora::Matrix &AscanBlock, float sampleRate,
const Aurora::Matrix &distBlock, float sosWater,
const Aurora::Matrix &distBlock, const Aurora::Matrix& sosBlock,float sosWater,
float startOffset, float segmentLenOffset,
float minSpeedOfSound, float maxSpeedOfSound, bool gaussWindow)
{
Aurora::Matrix sosOffset = Aurora::Matrix::fromRawData(new float[1]{0}, 1);
// Aurora::Matrix sosOffset = Aurora::Matrix::fromRawData(new float[1]{0}, 1);
Aurora::Matrix sosOffset = calculateSOSOffset(sosBlock, sosWater, distBlock, sampleRate);
auto calcResult = calculateStarEndSearchPosition(distBlock, minSpeedOfSound, maxSpeedOfSound, sampleRate,AscanBlock.getDimSize(0), sosOffset, startOffset, segmentLenOffset);
auto AscanBlockProcessed = zeros(AscanBlock.getDimSize(0),AscanBlock.getDimSize(1));
@@ -129,7 +130,7 @@ namespace Recon {
result.AscanBlockProcessed = AscanBlockProcessed;
return result;
}
Aurora::Matrix detectAttVectorized(const Aurora::Matrix &Ascan, const Aurora::Matrix &AscanRef,
const Aurora::Matrix &distRef,
float sosWaterRef,
@@ -173,6 +174,7 @@ namespace Recon {
DetectResult detectTofVectorized(
const Aurora::Matrix &AscanBlock, const Aurora::Matrix &AscanRefBlock,
const Aurora::Matrix &distBlock, const Aurora::Matrix &distBlockRef,
const Aurora::Matrix &sosWaterBlock,const Aurora::Matrix &sosWaterRefBlock,
float aSOSWater, float aSOSWaterRef,
int useTimeWindowing, int aScanReconstructionFrequency,
float offsetElectronic, int detectionWindowSOS, float minSpeedOfSound,
@@ -187,11 +189,11 @@ namespace Recon {
timeResult2.AscanBlockProcessed = AscanRefBlock;
if (useTimeWindowing == 1) {
timeResult1 = applyTimeWindowing(
AscanBlock, sampleRate, distBlock,
AscanBlock, sampleRate, distBlock, sosWaterBlock,
aSOSWater, offsetElectronicSamples, detectionWindowSOS,
minSpeedOfSound, maxSpeedOfSound, gaussWindow);
timeResult2 = applyTimeWindowing(
AscanRefBlock, sampleRate, distBlockRef,
AscanRefBlock, sampleRate, distBlockRef, sosWaterRefBlock,
aSOSWaterRef, offsetElectronicSamples, detectionWindowSOS,
minSpeedOfSound, maxSpeedOfSound, gaussWindow);
@@ -244,6 +246,7 @@ namespace Recon {
DetectResult detectTofAndAtt(
const Aurora::Matrix &AscanBlock, const Aurora::Matrix &AscanRefBlock,
const Aurora::Matrix &distBlock, const Aurora::Matrix &distRefBlock,
const Aurora::Matrix &sosWaterBlock,const Aurora::Matrix &sosWaterRefBlock,
int resampleFactor,int nthreads, float aSOSWater, float aSOSWaterRef,
int useTimeWindowing, int aScanReconstructionFrequency,int detectionWindowATT,
float offsetElectronic, int detectionWindowSOS, float minSpeedOfSound,
@@ -258,11 +261,11 @@ namespace Recon {
timeResult2.AscanBlockProcessed = AscanRefBlock;
if (useTimeWindowing == 1) {
timeResult1 = applyTimeWindowing(
AscanBlock, sampleRate, distBlock,
AscanBlock, sampleRate, distBlock, sosWaterBlock,
aSOSWater, offsetElectronicSamples, detectionWindowSOS,
minSpeedOfSound, maxSpeedOfSound, gaussWindow);
timeResult2 = applyTimeWindowing(
AscanRefBlock, sampleRate, distRefBlock,
AscanRefBlock, sampleRate, distRefBlock, sosWaterRefBlock,
aSOSWaterRef, offsetElectronicSamples, detectionWindowSOS,
minSpeedOfSound, maxSpeedOfSound, gaussWindow);
@@ -420,7 +423,7 @@ namespace Recon {
const Aurora::CudaMatrix &AscanRefBlock,
const Aurora::CudaMatrix &distBlock,
const Aurora::CudaMatrix &distRefBlock,
float aSOSWater, float aSOSWaterRef)
float aSOSWater, float aSOSWaterRef, float aOffset)
{
switch (Recon::transParams::version) {
// case 1: {
@@ -433,19 +436,40 @@ namespace Recon {
// Recon::transParams::maxSpeedOfSound, Recon::transParams::gaussWindow);
// }
// case 2:
// {
// auto SOSWaterBlock = zerosCuda(1,AscanBlock.getDimSize(1));
// SOSWaterBlock.setBlockValue(1,0,AscanBlock.getDimSize(1)-1,aSOSWater);
// auto SOSWaterRefBlock = zerosCuda(1,AscanBlock.getDimSize(1));
// SOSWaterRefBlock.setBlockValue(1,0,AscanBlock.getDimSize(1)-1,aSOSWaterRef);
// auto r = detectTofAndAtt(
// AscanBlock, AscanRefBlock, distBlock, distRefBlock,SOSWaterBlock,SOSWaterRefBlock,
// Recon::transParams::resampleFactor, Recon::transParams::nThreads,
// aSOSWater, aSOSWaterRef, Recon::transParams::useTimeWindowing,
// Recon::transParams::aScanReconstructionFrequency, Recon::transParams::detectionWindowATT,
// Recon::transParams::offsetElectronic, Recon::transParams::detectionWindowSOS, Recon::transParams::minSpeedOfSound,
// Recon::transParams::maxSpeedOfSound, Recon::transParams::gaussWindow);
// DetectResult ret;
// ret.att = r.att.toHostMatrix();
// ret.sosValue = r.sosValue.toHostMatrix();
// ret.tof = r.tof.toHostMatrix();
// return ret;
// }
// case 3:
default:
auto r = detectTofAndAtt(
AscanBlock, AscanRefBlock, distBlock, distRefBlock,
Recon::transParams::resampleFactor, Recon::transParams::nThreads,
aSOSWater, aSOSWaterRef, Recon::transParams::useTimeWindowing,
Recon::transParams::aScanReconstructionFrequency, Recon::transParams::detectionWindowATT,
Recon::transParams::offsetElectronic, Recon::transParams::detectionWindowSOS, Recon::transParams::minSpeedOfSound,
Recon::transParams::maxSpeedOfSound, Recon::transParams::gaussWindow);
{
float sampleRate = Recon::transParams::aScanReconstructionFrequency;
auto tof = detectTofThreshold(AscanBlock, distBlock, aOffset, aSOSWater, sampleRate,
Recon::transParams::offsetElectronic*sampleRate,
Recon::transParams::gaussWindow, Recon::transParams::minSpeedOfSound,
Recon::transParams::maxSpeedOfSound);
auto att = detectAttVectorizedCuda(AscanBlock, AscanRefBlock,distRefBlock, aSOSWaterRef, tof,
sampleRate, Recon::transParams::offsetElectronic,
Recon::transParams::detectionWindowATT);
DetectResult ret;
ret.att = r.att.toHostMatrix();
ret.sosValue = r.sosValue.toHostMatrix();
ret.tof = r.tof.toHostMatrix();
ret.tof = (tof - distBlock/aSOSWater).toHostMatrix();
ret.att = att.toHostMatrix();
return ret;
}
}
}
}

View File

@@ -99,6 +99,115 @@ CudaMatrix Recon::calculateSOSOffset(const CudaMatrix &sosBlock, float reference
return offset;
}
__global__ void addWinKernel(float* aData, int aRowCount, int aColCount, float aOffset, float aMinSOS, float aMaxSOS, float* aDist, float aSamepleRate)
{
__shared__ int startIndex;
__shared__ int endIndex;
unsigned int i = blockIdx.x;
unsigned int base_offset = i * aRowCount;
float * dataPointer = aData + base_offset;
float dist = aDist[i];
//确定每个thread的index
if (threadIdx.x == 0)
{
float offset = aOffset * aSamepleRate;
startIndex = (int)(round(dist / aMaxSOS * aSamepleRate) + offset)-1;
endIndex = (int)(round(dist / aMinSOS * aSamepleRate) + offset)-1;
}
for (size_t j = threadIdx.x; j < aRowCount; j+=blockDim.x)
{
if(j<startIndex) dataPointer[j] = .0;
if(j>endIndex) dataPointer[j] = .0;
}
}
__global__ void genTofKernel(float* aData, int aRowCount, int aColCount, float aOffset, float* aTOFRef, float aSamepleRate, int* index, int aNpeaks)
{
unsigned int i = blockIdx.x;
unsigned int base_offset = i * aRowCount ;
float * dataPointer = aData + base_offset;
int startIndex = index[i*aNpeaks]-15;
startIndex = startIndex < 0 ? 0 : startIndex;
int endIndex = index[i*aNpeaks]+15;
endIndex = endIndex >= aRowCount? aRowCount-1 : endIndex;
int maxIndex = 0;
float maxValue = FLT_MIN;
//find max in index[i] + (-15,15)
for (size_t j = startIndex; j <= endIndex; j++)
{
if (dataPointer[j] > maxValue){
maxIndex = j;
maxValue = dataPointer[j];
}
}
index[i] = maxIndex;
//attention: this remove redudent -aTOFRef[i] ,because it will be add back in upper called level
aTOFRef[i] = ((float)(maxIndex+1))/aSamepleRate + aOffset ;
// aTOFRef[i] = ((float)(maxIndex+1))/aSamepleRate + aOffset - aTOFRef[i];
}
CudaMatrix Recon::detectTofThreshold(const CudaMatrix& aAscan, const CudaMatrix &aDistRef, float aOffset, float aSOSWater,
float aAScanReconstructionFrequency, float aOffsetElectronic, int aUseTimeWindowing, float aMinSpeedOfSound,
float aMaxSpeedOfSound)
{
const int THREADS_PER_BLOCK_ = 32;
float offsetWV = -aOffset;
float sampleRate = aAScanReconstructionFrequency;
float offsetElectronSamples = aOffsetElectronic * sampleRate;
// if (inits.detection.useTimeWindowing == 1)
// parfor idx__ = 1 : size(AscanBlock, 2)
// AscanBlock(:, idx__) = add_win(AscanBlock(:, idx__) ,...
// offsetElectronicSamples,...
// inits.detection.minSpeedOfSound,...
// inits.detection.maxSpeedOfSound,...
// distBlock(idx__), sampleRate);
// end
// end
int * index = nullptr;
if (aUseTimeWindowing){
addWinKernel<<<aAscan.getDimSize(1), THREADS_PER_BLOCK_>>>(aAscan.getData(), aAscan.getDimSize(0),
aAscan.getDimSize(1), offsetElectronSamples,
aMinSpeedOfSound, aMaxSpeedOfSound, aDistRef.getData(), sampleRate);
cudaDeviceSynchronize();
}
// AScan_env = envelope(AscanBlock);
// pkValue_mea = max(AScan_env, [], 1);
// AScan_env_norm = AScan_env ./ pkValue_mea;
// parfor idx__ = 1 : size(AScan_env_norm, 2)
// %-find 1st wvfrom based on envelope
// [~, locs] = findpeaks(AScan_env_norm(:, idx__),...
// 'MinPeakHeight', 0.2,...
// 'Npeaks', 10,...
// 'MInPeakProminence', 0.05);
// tof_env = locs(1);
// %-then select maximum pt on match-filted signal
// Ascan_valid_part = zeros(size(AscanBlock, 1), 1);
// Ascan_valid_part((-15:15) + tof_env) = AscanBlock((-15:15) + tof_env, idx__);
// loc = find(Ascan_valid_part == max(Ascan_valid_part), 1);
// try
// tof_mea(idx__) = loc;
// catch ME
// error(ME)
// end
// end
{
auto envAScanTemp = abs(hilbert(aAscan));//envelope(Ascanblock);
auto pkValueMea = max(envAScanTemp);
envAScanTemp = envAScanTemp / pkValueMea;
auto pearks = Aurora::findPeaks(envAScanTemp, 10, 0.2, 0.05, &index);
}
auto tofRef = aDistRef.deepCopy();
genTofKernel<<<aAscan.getDimSize(1),1>>>(aAscan.getData(), aAscan.getDimSize(0),
aAscan.getDimSize(1), offsetWV, tofRef.getData(),
sampleRate,index, 10);
cudaDeviceSynchronize();
cudaFree(index);
return tofRef;
}
Recon::SearchPositionC Recon::calculateStarEndSearchPosition(const CudaMatrix &aVDistBlock,
float minSpeedOfSound, float maxSpeedOfSound,
float sampleRate, float maxSample,
@@ -170,11 +279,13 @@ __global__ void guassWindowKernel(float* aStartSearch,float* aEndSearch,
}
Recon::TimeWindowResultC Recon::applyTimeWindowing(const Aurora::CudaMatrix &AscanBlock, float sampleRate,
const Aurora::CudaMatrix &distBlock,
const Aurora::CudaMatrix &distBlock,const Aurora::CudaMatrix &sosWaterBlock,
float aSOSWater, float startOffset, float segmentLenOffset,
float minSpeedOfSound, float maxSpeedOfSound, bool gaussWindow)
{
Aurora::CudaMatrix sosOffset = Aurora::zerosCuda(1,1);
// Aurora::CudaMatrix sosOffset = Aurora::zerosCuda(1,1);
Aurora::CudaMatrix sosOffset = calculateSOSOffset(sosWaterBlock,aSOSWater, distBlock, sampleRate);
auto calcResult = calculateStarEndSearchPosition(distBlock, minSpeedOfSound, maxSpeedOfSound, sampleRate,AscanBlock.getDimSize(0), sosOffset, startOffset, segmentLenOffset);
auto AscanBlockProcessed = zerosCuda(AscanBlock.getDimSize(0),AscanBlock.getDimSize(1));
@@ -253,6 +364,7 @@ int nextpow2(unsigned int value){
Recon::DetectResultC Recon::detectTofAndAtt(
const Aurora::CudaMatrix &AscanBlock, const Aurora::CudaMatrix &AscanRefBlock,
const Aurora::CudaMatrix &distBlock, const Aurora::CudaMatrix &distRefBlock,
const Aurora::CudaMatrix &soswaterBlock,const Aurora::CudaMatrix &soswaterRefBlock,
int resampleFactor,int nthreads, float aSOSWater, float aSOSWaterRef,
int useTimeWindowing, int aScanReconstructionFrequency,int detectionWindowATT,
float offsetElectronic, int detectionWindowSOS, float minSpeedOfSound,
@@ -267,11 +379,11 @@ Recon::DetectResultC Recon::detectTofAndAtt(
timeResult2.AscanBlockProcessed = AscanRefBlock;
if (useTimeWindowing == 1) {
timeResult1 = applyTimeWindowing(
AscanBlock, sampleRate, distBlock,
AscanBlock, sampleRate, distBlock, soswaterBlock,
aSOSWater, offsetElectronicSamples, detectionWindowSOS,
minSpeedOfSound, maxSpeedOfSound, gaussWindow);
timeResult2 = applyTimeWindowing(
AscanRefBlock, sampleRate, distRefBlock,
AscanRefBlock, sampleRate, distRefBlock, soswaterRefBlock,
aSOSWaterRef, offsetElectronicSamples, detectionWindowSOS,
minSpeedOfSound, maxSpeedOfSound, gaussWindow);

View File

@@ -30,7 +30,7 @@ struct TimeWindowResultC {
float offsetElectronic, int detectionWindowATT);
TimeWindowResultC applyTimeWindowing(const Aurora::CudaMatrix &AscanBlock, float sampleRate,
const Aurora::CudaMatrix &distBlock,
const Aurora::CudaMatrix &distBlock,const Aurora::CudaMatrix &sosWaterBlock,
float aSOSWater, float startOffset, float segmentLenOffset,
float minSpeedOfSound, float maxSpeedOfSound, bool gaussWindow);
SearchPositionC calculateStarEndSearchPosition(const CudaMatrix &aVDistBlock,
@@ -39,9 +39,14 @@ struct TimeWindowResultC {
const CudaMatrix &aVSosOffsetBlock,
float startOffset, float segmentLenOffset);
CudaMatrix calculateSOSOffset(const CudaMatrix &sosBlock, float referenceSOS, const CudaMatrix &distBlock, float sampleRate);
CudaMatrix detectTofThreshold(const CudaMatrix& aAscan, const CudaMatrix &aDistRef,float aOffset, float aSOSWater,
float aAScanReconstructionFrequency, float aOffsetElectronic, int aUseTimeWindowing, float aMinSpeedOfSound, float aMaxSpeedOfSound);
DetectResultC detectTofAndAtt(
const Aurora::CudaMatrix &AscanBlock, const Aurora::CudaMatrix &AscanRefBlock,
const Aurora::CudaMatrix &distBlock, const Aurora::CudaMatrix &distRefBlock,
const Aurora::CudaMatrix &soswaterBlock, const Aurora::CudaMatrix &soswaterRefBlock,
int resampleFactor,int nthreads, float aSOSWater, float aSOSWaterRef,
int useTimeWindowing, int aScanReconstructionFrequency,int detectionWindowATT,
float offsetElectronic, int detectionWindowSOS, float minSpeedOfSound,

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@@ -32,8 +32,8 @@ calculateStarEndSearchPosition(const Aurora::Matrix &aVDistBlock,
TimeWindowResult applyTimeWindowing(
const Aurora::Matrix &AscanBlock, float sampleRate,
const Aurora::Matrix &distBlock, float sosWater,
float startOffset, float segmentLenOffset,
const Aurora::Matrix &distBlock, const Aurora::Matrix &sosWaterBlock,
float sosWater, float startOffset, float segmentLenOffset,
float minSpeedOfSound, float maxSpeedOfSound, bool gaussWindow);
Aurora::Matrix
@@ -56,6 +56,7 @@ DetectResult
detectTofAndAtt(
const Aurora::Matrix &AscanBlock, const Aurora::Matrix &AscanRefBlock,
const Aurora::Matrix &distBlock, const Aurora::Matrix &distRefBlock,
const Aurora::Matrix &sosWaterBlock,const Aurora::Matrix &sosWaterRefBlock,
int resampleFactor, int nthreads, float aSOSWater, float aSOSWaterRef,
int useTimeWindowing, int aScanReconstructionFrequency,
int detectionWindowATT, float offsetElectronic, int detectionWindowSOS,
@@ -77,7 +78,7 @@ DetectResult
transmissionDetection(
const Aurora::CudaMatrix &AscanBlock, const Aurora::CudaMatrix &AscanRefBlock,
const Aurora::CudaMatrix &distBlock, const Aurora::CudaMatrix &distRefBlock,
float aSOSWater, float aSOSWaterRef);
float aSOSWater, float aSOSWaterRef, float aOffset);
} // namespace Recon

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@@ -78,7 +78,7 @@ namespace
}
BlockOfTransmissionData getBlockOfTransmissionData(const Matrix& aMp, const Matrix& aMpRef, const Matrix& aSl, const Matrix& aSn, const Matrix& aRlList, const Matrix& aRnList,
const TempInfo& aTemp, const TempInfo& aTempRef, GeometryInfo aGeom, GeometryInfo& aGeomRef,
const SOSInfo& aSOS, const SOSInfo& aSOSRef, GeometryInfo aGeom, GeometryInfo& aGeomRef,
const Matrix& aSnrRmsNoise, const Matrix& aSnrRmsNoiseRef, const MeasurementInfo& aExpInfo, const MeasurementInfo& aExpInfoRef,
const PreComputes& aPreComputes, Parser* aParser, Parser* aParserRef)
{
@@ -162,13 +162,13 @@ namespace
}
void getBlockOfTransmissionDataInThread(size_t aIndex, const Matrix& aMp, const Matrix& aMpRef, const Matrix& aSl, const Matrix& aSn, const Matrix& aRlList, const Matrix& aRnList,
const TempInfo& aTemp, const TempInfo& aTempRef, GeometryInfo aGeom, GeometryInfo aGeomRef,
const SOSInfo& aSOS, const SOSInfo& aSOSRef, GeometryInfo aGeom, GeometryInfo aGeomRef,
const Matrix& aSnrRmsNoise, const Matrix& aSnrRmsNoiseRef, const MeasurementInfo& aExpInfo, const MeasurementInfo& aExpInfoRef,
const PreComputes& aPreComputes, Parser* aParser, Parser* aParserRef, unsigned int aGPUId)
{
cudaSetDevice(aGPUId);
auto buffer = getBlockOfTransmissionData(aMp, aMpRef, aSl, aSn, aRlList, aRnList, aTemp,
aTempRef, aGeom, aGeomRef, aSnrRmsNoise, aSnrRmsNoiseRef,
auto buffer = getBlockOfTransmissionData(aMp, aMpRef, aSl, aSn, aRlList, aRnList, aSOS,
aSOSRef, aGeom, aGeomRef, aSnrRmsNoise, aSnrRmsNoiseRef,
aExpInfo, aExpInfoRef, aPreComputes, aParser, aParserRef);
std::unique_lock<std::mutex> lock(CREATE_BUFFER_MUTEX);
BLOCK_OF_TRANSIMISSIONDARA_BUFFER[std::to_string(aIndex)] = buffer;
@@ -178,7 +178,7 @@ void getBlockOfTransmissionDataInThread(size_t aIndex, const Matrix& aMp, const
}
void createThreadForGetBlockOfTransmissionData(const Matrix& aMotorPos, const Matrix& aMotoPosRef, const Matrix& aSlList, const Matrix& aSnList, const Matrix& aRlList, const Matrix& aRnList,
const TempInfo& aTemp, const TempInfo& aTempRef, GeometryInfo aGeom, GeometryInfo aGeomRef,
const SOSInfo& aSOS, const SOSInfo& aSOSRef, GeometryInfo aGeom, GeometryInfo aGeomRef,
const Matrix& aSnrRmsNoise, const Matrix& aSnrRmsNoiseRef, const MeasurementInfo& aExpInfo, const MeasurementInfo& aExpInfoRef,
const PreComputes& aPreComputes, Parser* aParser, Parser* aParserRef)
{
@@ -202,7 +202,7 @@ void createThreadForGetBlockOfTransmissionData(const Matrix& aMotorPos, const M
CREATE_BUFFER_CONDITION.wait(lock, []{return BUFFER_COUNT<BUFFER_SIZE;});
++BUFFER_COUNT;
lock.unlock();
speedUpThread[index] = std::thread(getBlockOfTransmissionDataInThread,index,mp,mpRef,sl,sn,aRlList,aRnList,aTemp,aTempRef,aGeom,aGeomRef,aSnrRmsNoise,aSnrRmsNoiseRef,aExpInfo,aExpInfoRef,aPreComputes,aParser, aParserRef, index % BUFFER_SIZE);
speedUpThread[index] = std::thread(getBlockOfTransmissionDataInThread,index,mp,mpRef,sl,sn,aRlList,aRnList,aSOS,aSOSRef,aGeom,aGeomRef,aSnrRmsNoise,aSnrRmsNoiseRef,aExpInfo,aExpInfoRef,aPreComputes,aParser, aParserRef, index % BUFFER_SIZE);
}
}
}
@@ -216,7 +216,7 @@ void createThreadForGetBlockOfTransmissionData(const Matrix& aMotorPos, const M
TransmissionData Recon::getTransmissionData(const Aurora::Matrix& aMotorPos, const Aurora::Matrix& aMotoPosRef, const Aurora::Matrix& aSlList,
const Aurora::Matrix& aSnList, const Aurora::Matrix& aRlList, const Aurora::Matrix& aRnList,
const TempInfo& aTemp, const TempInfo& aTempRef, GeometryInfo& aGeom,
const SOSInfo& aSOS, const SOSInfo& aSOSRef, GeometryInfo& aGeom,
GeometryInfo& aGeomRef, const MeasurementInfo& aExpInfo, const MeasurementInfo& aExpInfoRef,
const PreComputes& aPreComputes, Parser* aParser, Parser* aParserRef)
{
@@ -259,7 +259,7 @@ TransmissionData Recon::getTransmissionData(const Aurora::Matrix& aMotorPos, con
rnBlockTotal = zeros(1,numScans,1);
}
std::thread speedUpThread = std::thread(createThreadForGetBlockOfTransmissionData,aMotorPos,aMotoPosRef,aSlList,aSnList,aRlList,aRnList,aTemp,aTempRef,aGeom,aGeomRef,rmsNoise,rmsNoiseRef,aExpInfo,aExpInfoRef,aPreComputes,aParser, aParserRef);
std::thread speedUpThread = std::thread(createThreadForGetBlockOfTransmissionData,aMotorPos,aMotoPosRef,aSlList,aSnList,aRlList,aRnList,aSOS,aSOSRef,aGeom,aGeomRef,rmsNoise,rmsNoiseRef,aExpInfo,aExpInfoRef,aPreComputes,aParser, aParserRef);
int numData = 0;
int numPossibleScans = 0;
sched_param sch;
@@ -288,7 +288,7 @@ TransmissionData Recon::getTransmissionData(const Aurora::Matrix& aMotorPos, con
cudaSetDevice(index % BUFFER_SIZE);
DetectResult detect = transmissionDetection( blockData.ascanBlock, blockData.ascanBlockRef,
blockData.dists.toDeviceMatrix(), blockData.distRefBlock.toDeviceMatrix(),
aTemp.expectedSOSWater[0], aTempRef.expectedSOSWater[0]);
aSOS.expectedSOSWater[0], aSOSRef.expectedSOSWater[0], aPreComputes.offset);
blockData.attData = detect.att;
blockData.tofData = detect.tof;
BlockOfTransmissionData transmissionBlock=blockData;

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@@ -4,6 +4,7 @@
#include "Matrix.h"
#include "common/getMeasurementMetaData.h"
#include "common/getGeometryInfo.h"
#include "common/SoundSpeedWaterCalculation/getSoundSpeedWaterValue.h"
class Parser;
namespace Recon
@@ -42,7 +43,7 @@ namespace Recon
TransmissionData getTransmissionData(const Aurora::Matrix& aMotorPos, const Aurora::Matrix& aMotoPosRef, const Aurora::Matrix& aSlList,
const Aurora::Matrix& aSnList, const Aurora::Matrix& aRlList, const Aurora::Matrix& aRnList,
const TempInfo& aTemp, const TempInfo& aTempRef, GeometryInfo& aGeom,
const SOSInfo& aSOS, const SOSInfo& aSOSRef, GeometryInfo& aGeom,
GeometryInfo& aGeomRef, const MeasurementInfo& aExpInfo, const MeasurementInfo& aExpInfoRef,
const PreComputes& aPreComputes, Parser* aParser, Parser* aParserRef);
}

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@@ -19,16 +19,16 @@ using namespace Recon;
TransmissionReconstructionResult Recon::startTransmissionReconstruction(const Aurora::Matrix& aMotorPos, const Aurora::Matrix& aMotoPosRef, const Aurora::Matrix& aSlList,
const Aurora::Matrix& aSnList, const Aurora::Matrix& aRlList, const Aurora::Matrix& aRnList,
const TempInfo& aTemp, const TempInfo& aTempRef, Recon::GeometryInfo& aGeom,
const SOSInfo& aSOS, const SOSInfo& aSOSRef, Recon::GeometryInfo& aGeom,
GeometryInfo& aGeomRef, const MeasurementInfo& aExpInfo, const MeasurementInfo& aExpInfoRef,
const PreComputes& aPreComputes, Parser* aParser, Parser* aParserRef)
{
RECON_INFO("Start getTransmissionData.");
auto transmissionData = getTransmissionData(aMotorPos, aMotoPosRef, aSlList, aSnList, aRlList, aRnList, aTemp, aTempRef,
auto transmissionData = getTransmissionData(aMotorPos, aMotoPosRef, aSlList, aSnList, aRlList, aRnList, aSOS, aSOSRef,
aGeom, aGeomRef, aExpInfo, aExpInfoRef, aPreComputes, aParser, aParserRef);
Matrix dists = Recon::distanceBetweenTwoPoints(transmissionData.senderList, transmissionData.receiverList);
Matrix valid = Recon::checkTofDetections(transmissionData.tofDataTotal, dists, aTemp.expectedSOSWater[0],
Matrix valid = Recon::checkTofDetections(transmissionData.tofDataTotal, dists, aSOS.expectedSOSWater[0],
Recon::transParams::minSpeedOfSound,Recon::transParams::maxSpeedOfSound).valid;
if(transParams::qualityCheck)
{
@@ -40,7 +40,7 @@ TransmissionReconstructionResult Recon::startTransmissionReconstruction(const Au
Matrix senderList = removeDataFromArrays(positionValues.senderCoordList, valid);
Matrix reveiverList = removeDataFromArrays(positionValues.receiverCoordList, valid);
RECON_INFO("Start reconstructArt.");
auto transmissionReon = reconstructArt(tofData, attData, positionValues.dims, senderList, reveiverList, positionValues.res, aTemp.expectedSOSWater[0]);
auto transmissionReon = reconstructArt(tofData, attData, positionValues.dims, senderList, reveiverList, positionValues.res, aSOS.expectedSOSWater[0]);
TransmissionReconstructionResult result;
result.recoATT = transmissionReon.outATT;

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@@ -5,6 +5,7 @@
#include "common/getMeasurementMetaData.h"
#include "common/getGeometryInfo.h"
#include "transmissionReconstruction/detection/getTransmissionData.h"
#include "common/SoundSpeedWaterCalculation/getSoundSpeedWaterValue.h"
class Parser;
@@ -19,7 +20,7 @@ namespace Recon
TransmissionReconstructionResult startTransmissionReconstruction(const Aurora::Matrix& aMotorPos, const Aurora::Matrix& aMotoPosRef, const Aurora::Matrix& aSlList,
const Aurora::Matrix& aSnList, const Aurora::Matrix& aRlList, const Aurora::Matrix& aRnList,
const TempInfo& aTemp, const TempInfo& aTempRef, Recon::GeometryInfo& aGeom,
const SOSInfo& aTemp, const SOSInfo& aTempRef, Recon::GeometryInfo& aGeom,
GeometryInfo& aGeomRef, const MeasurementInfo& aExpInfo, const MeasurementInfo& aExpInfoRef,
const PreComputes& aPreComputes, Parser* aParser, Parser* aParserRef);
}