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Create match filter test in main.

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This commit is contained in:
Krad
2023-04-27 14:40:11 +08:00
parent 405963ad62
commit 24b7d0b3b5
1 changed files with 56 additions and 64 deletions
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116
src/main.cxx
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@@ -10,78 +10,70 @@
#include "Matrix.h"
#include "Function.h"
#include "Function1D.h"
#include "Function2D.h"
#include "Function3D.h"
#include "spdlog/spdlog.h"
#include "spdlog/sinks/stdout_color_sinks.h"
#include "spdlog/sinks/basic_file_sink.h"
#include "MatlabReader.h"
int main() {
{
double *dataA = Aurora::malloc(8,true);
double *dataB = Aurora::malloc(8);
double *dataC = Aurora::malloc(8);
for (int i = 0; i < 16; ++i) {
dataA[i] = (double) (i + 2);
MatlabReader m;
Input i;
MatchedFilter o;
m.read(&i,&o,"/mnt/d/TestData/testCreateMatchedFilter.mat");
bool measuredCEused = true,findDefects = i.mParams->mFindDefects,removeOutliers = i.mRemoveOutliersFromCEMeasured;
Aurora::Matrix mFTime = Aurora::Matrix::fromRawData(i.mCe,4000,2304);
if (removeOutliers){
auto normSTD = Aurora::std(Aurora::abs(mFTime));
Aurora::nantoval(normSTD,0.0);
auto sortSTD = Aurora::sort(normSTD);
int t = (int)std::round(0.4*mFTime.getDimSize(1))-1;
t = t<=0?1.0:t;
auto absFTime = abs(mFTime);
auto maxAbsFTime = max(absFTime);
auto maxFlag = maxAbsFTime < (0.1 * max(maxAbsFTime));
auto lessFlag = normSTD < sortSTD(0,t).toMatrix();
long maxCol,maxRow;
max(normSTD,Aurora::Column,maxRow,maxCol);
for (int j = 0; j < mFTime.getDimSize(1); ++j) {
if((bool)(lessFlag.getData()[j])||(bool)(maxFlag.getData()[j])){
mFTime(Aurora::$,j) = mFTime(Aurora::$,maxCol);
}
for (int i = 0; i < 8; ++i) {
dataB[i] = (double) (i + 2);
dataC[i / 2] = (double) (i + 9);
}
Aurora::Matrix A = Aurora::Matrix::New(dataA, 2, 2, 2,Aurora::ValueType::Complex);
printf("A:\r\n");
A.printf();
Aurora::Matrix B = Aurora::Matrix::New(dataB, 2, 2, 2);
printf("B:\r\n");
B.printf();
printf("A slice 1 = B slice 0\r\n");
A(Aurora::$, Aurora::$, 1) = B(Aurora::$, Aurora::$, 0);
printf("B:\r\n");
B.printf();
printf("New A:\r\n");
A.printf();
printf("A Row slice 1 = B Row slice 0\r\n");
A(1, Aurora::$, Aurora::$) = B(0, Aurora::$, Aurora::$);
printf("B:\r\n");
B.printf();
printf("New A:\r\n");
A.printf();
printf("A Col slice 1 = B Col slice 0\r\n");
A(Aurora::$, 1, Aurora::$) = B(Aurora::$, 0, Aurora::$);
printf("B:\r\n");
B.printf();
printf("New A:\r\n");
A.printf();
printf("New A col slice 1 toMatrix:\r\n");
auto Ds = A(Aurora::$, 1, Aurora::$);
auto D = Ds.toMatrix();
printf("D:\r\n");
D.printf();
Aurora::Matrix C = Aurora::Matrix::New(dataC, 2, 2);
printf("C:\r\n");
C.printf();
A(1, 1, 1) = 1024.0;
printf("New A:\r\n");
A.printf();
}{
double * dataA = Aurora::malloc(9);
double * dataB = Aurora::malloc(9);
for (int i = 0; i < 9; ++i) {
dataA[i]=(double)(i-3);
dataB[i]=(double)(i+2);
}
Aurora::Matrix A = Aurora::Matrix::New(dataA,3,3);
printf("A:\r\n");
A.printf();
Aurora::Matrix B = Aurora::Matrix::New(dataB,3,3);
printf("B:\r\n");
B.printf();
printf("sign(A):\r\n");
sign(A*B).printf();
auto matchedFilter = fft(mFTime);
auto absMatchedFilter = abs(matchedFilter);
// auto highNoiseScore = mean(absMatchedFilter) * Aurora::std(absMatchedFilter);
auto highNoiseScore = mean( abs(matchedFilter)) * Aurora::std(absMatchedFilter);
printf("highNoiseScore[998]: %f4, highNoiseScore[2053]:%f4\r\n",highNoiseScore.getData()[998],highNoiseScore.getData()[2053]);
auto medianNoise = median(highNoiseScore);
printf("median: %f4\r\n",medianNoise.getScalar());
long minCol,row;
min(abs(highNoiseScore - median(highNoiseScore)), Aurora::Column, row, minCol);
//
minCol = 998;
auto sumDiff = Aurora::zeros(1, matchedFilter.getDimSize(1));
auto maxMatchFilter = matchedFilter(Aurora::$, minCol).toMatrix();
for (int k = 0; k < matchedFilter.getDimSize(1); ++k) {
sumDiff.getData()[k] = sum(abs(matchedFilter(Aurora::$, k).toMatrix()- maxMatchFilter)).getData()[0];
}
auto indexe = sumDiff > (mean(sumDiff)+2.596 * Aurora::std(sumDiff));
for (int l = 0; l < indexe.getDataSize(); ++l) {
if ((bool)indexe.getData()[l]){
matchedFilter(Aurora::$,l) = matchedFilter(Aurora::$,minCol);
}
}
if (measuredCEused){
auto mFTime2 = ifft(-matchedFilter);
max(Aurora::abs(mFTime2)).printfShape();
mFTime2 = mFTime2/repmat(max(Aurora::abs(mFTime2)),mFTime2.getDimSize(0),1);
mFTime2 = mFTime2/repmat(sum(Aurora::abs(mFTime2)),mFTime2.getDimSize(0),1);
matchedFilter = fft(mFTime2);
}
return 0;
}