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Commit d3b2b2c6 authored by Andrey Filippov's avatar Andrey Filippov
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debugging

parent 43fae5db
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Showing with 114 additions and 4 deletions
src/main/java/Aberration_Calibration.java
View file @ d3b2b2c6
......@@ -302,6 +302,7 @@ public class Aberration_Calibration extends PlugInFrame implements ActionListene
public static MatchSimulatedPattern.DistortionParameters DISTORTION =new MatchSimulatedPattern.DistortionParameters(
64, //32, // use 64 for less artifacts, // correlationSize
64, // Maximal correlation size
0.75,// reduce to 0.5 when correlationSize==64 // correlationGaussWidth
false, // boolean absoluteCorrelationGaussWidth=false; // do not scale correlationGaussWidth when the FFT size is increased
0, //zeros - // leave this number of zeros on the margins of the window (toatal from both sides). If correlationGaussWidth>0 will
......@@ -19190,6 +19191,8 @@ use the result to create a rejectiobn mask - if the energy was high, (multiplica
gd.addNumericField("FFTSize (Initial pattern detection only):", distortionParameters.FFTSize, 0); // 128
gd.addNumericField("FFT Gaussian width (relative):", distortionParameters.fftGaussWidth, 3);
gd.addNumericField("Correlation size:", distortionParameters.correlationSize, 0); // 64
gd.addNumericField("Maximal correlation size:", distortionParameters.maximalCorrelationSize, 0); // 64
gd.addNumericField("Correlation Gauss width (relative):", distortionParameters.correlationGaussWidth, 3);
gd.addCheckbox("Keep Gaussian width absolute when increasing FFT size",distortionParameters.absoluteCorrelationGaussWidth);
// /phaseCorrelationFraction
......@@ -19268,6 +19271,8 @@ use the result to create a rejectiobn mask - if the energy was high, (multiplica
distortionParameters.fftGaussWidth= gd.getNextNumber();
distortionParameters.correlationSize=1;
for (i=(int) gd.getNextNumber(); i >1; i>>=1) distortionParameters.correlationSize <<=1; /* make it to be power of 2 */
distortionParameters.maximalCorrelationSize=1;
for (i=(int) gd.getNextNumber(); i >1; i>>=1) distortionParameters.maximalCorrelationSize <<=1; /* make it to be power of 2 */
distortionParameters.correlationGaussWidth= gd.getNextNumber();
distortionParameters.absoluteCorrelationGaussWidth=gd.getNextBoolean();
distortionParameters.zeros= (int) gd.getNextNumber();
......
src/main/java/MatchSimulatedPattern.java
View file @ d3b2b2c6
......@@ -975,7 +975,7 @@ public class MatchSimulatedPattern {
title, // title base for optional plots names
this.debugLevel);
}
public double correlationContrast ( double [] pixels, // square pixel array
public double correlationContrastOld ( double [] pixels, // square pixel array
double [][] wVectors, // wave vectors (same units as the pixels array)
double ringWidth, // ring (around r=0.5 dist to opposite corr) width
double x0, // center coordinates
......@@ -1060,6 +1060,70 @@ public class MatchSimulatedPattern {
}
return contrast;
}
public double correlationContrast ( double [] pixels, // square pixel array
double [][] wVectors, // wave vectors (same units as the pixels array)
double ringWidth, // ring (around r=0.5 dist to opposite corr) width
double x0, // center coordinates
double y0,
String title, // title base for optional plots names
int debugLevel){
double sigma=0.1;
double sigma32=9*sigma*sigma;
double k=-0.5/(sigma*sigma);
double [][] sampleCentersXY={{0.0,0.0},{0.0,0.5},{0.5,0.0},{0.0,-0.5},{-0.5,0.0}};
int [] sampleTypes = {0,1,1,1,1};
int size=(int) Math.sqrt(pixels.length);
double [] xy= new double [2];
double [] uv;
double r2;
int i,j;
/* opposite sign correlation points in uv are at uv=(0,-0.5),(0,0.5), (-0.5,0) and (0.5,0), with radius of (1/2)
selecting center circle and a ring from 0.25 to 0.75 of the distance to opposite sign correlations */
double [] dbgMask= new double[size*size];
for (int n=0;n<dbgMask.length;n++) dbgMask[n]=0.0;
double [] s={0.0,0.0};
double [] w={0.0,0.0};
for (i=0;i<size;i++) {
xy[1]=i-size/2-y0;
for (j=0;j<size;j++) {
xy[0]=j-size/2-x0;
uv=matrix2x2_mul(wVectors,xy);
for (int np=0;np<sampleCentersXY.length;np++){
double dx=uv[0]-sampleCentersXY[np][0];
double dy=uv[1]-sampleCentersXY[np][1];
r2=dx*dx+dy*dy;
if (r2<sigma32){
double m=Math.exp(k*r2);
dbgMask[i*size+j]+=m;
w[sampleTypes[np]]+=m;
s[sampleTypes[np]]+=m*pixels[i*size+j];
}
}
}
}
if ((w[0]==0.0) || (w[1]==0.0)) {
if (debugLevel>1) System.out.println("Not enough data for correlation contrast: center - w[0]="+w[0]+" opposite - w[1]="+w[1]);
return -1.0;
}
double contrast=Math.sqrt((s[0]/w[0])/(s[1]/w[1]));
if (debugLevel>2) {
System.out.println("Correlation contrast is "+contrast);
double [][] dbgPixels={pixels,dbgMask};
String [] titles={"all","mask"};
(new showDoubleFloatArrays()).showArrays(
dbgPixels,
size,
size,
true,
title+"_CORR_MASK",
titles);
}
return contrast;
}
/* ======================================================================== */
public double[] correlateWithModel (double [] imagePixels, // measured pixel array
double [] modelPixels, // simulated (model) pixel array)
......@@ -7174,11 +7238,17 @@ y=xy0[1] + dU*deltaUV[0]*(xy1[1]-xy0[1])+dV*deltaUV[1]*(xy2[1]-xy0[1])
double [] thisWindow=window;
double uv_threshold=distortionParameters.minUVSpan*0.25*Math.sqrt(2.0);
if ((min_span<uv_threshold) && (window2!=null)) { // trying to increase only twice
if (
(min_span<uv_threshold) &&
(window2!=null) &&
(thisCorrelationSize<distortionParameters.maximalCorrelationSize)) { // trying to increase only twice
thisCorrelationSize*=2;
min_span*=2;
thisWindow=window2;
if ((min_span<uv_threshold) && (window4!=null)) {
if (
(min_span<uv_threshold) &&
(window4!=null) &&
(thisCorrelationSize<distortionParameters.maximalCorrelationSize)) {
thisCorrelationSize*=2;
min_span*=2;
thisWindow=window4;
......@@ -7427,6 +7497,23 @@ y=xy0[1] + dU*deltaUV[0]*(xy1[1]-xy0[1])+dV*deltaUV[1]*(xy2[1]-xy0[1])
double [] thisWindow=window;
double uv_threshold=distortionParameters.minUVSpan*0.25*Math.sqrt(2.0);
if (
(min_span<uv_threshold) &&
(window2!=null) &&
(thisCorrelationSize<distortionParameters.maximalCorrelationSize)) { // trying to increase only twice
thisCorrelationSize*=2;
min_span*=2;
thisWindow=window2;
if (
(min_span<uv_threshold) &&
(window4!=null) &&
(thisCorrelationSize<distortionParameters.maximalCorrelationSize)) {
thisCorrelationSize*=2;
min_span*=2;
thisWindow=window4;
}
}
/*
if ((min_span<uv_threshold) && (window2!=null)) { // trying to increase only twice
thisCorrelationSize*=2;
min_span*=2;
......@@ -7437,6 +7524,7 @@ y=xy0[1] + dU*deltaUV[0]*(xy1[1]-xy0[1])+dV*deltaUV[1]*(xy2[1]-xy0[1])
thisWindow=window4;
}
}
*/
setCorrelationSizesUsed(thisCorrelationSize);
if ((debug_level>0)&&(thisCorrelationSize>distortionParameters.correlationSize)) System.out.println("**** u/v span too small, increasing FFT size to "+thisCorrelationSize);
Rectangle centerCross=correlationSelection(
......@@ -7499,6 +7587,10 @@ y=xy0[1] + dU*deltaUV[0]*(xy1[1]-xy0[1])+dV*deltaUV[1]*(xy2[1]-xy0[1])
thisCorrelationSize, // number of Bayer cells in width of the square selection (half number of pixels)
0,
0);
if (sim_pix==null){
System.out.println("***** BUG: extractSimulPatterns() FAILED *****");
return null;
}
simGreensCentered= normalizeAndWindow (sim_pix[4], thisWindow);
......@@ -8966,6 +9058,7 @@ error=Sum(W(x,y)*(F^2 + 2*F*(A*x^2+B*y^2+C*x*y+D*x+E*y-Z(x,y)) +(...) )
public static class DistortionParameters {
public int correlationSize;
public int maximalCorrelationSize;
public double correlationGaussWidth; // 0 - no window, <0 - use Hamming
public boolean absoluteCorrelationGaussWidth=false; // do not scale correlationGaussWidth when the FFT size is increased
public int zeros; // leave this number of zeros on the margins of the window (toatal from both sides). If correlationGaussWidth>0 will
......@@ -9027,6 +9120,7 @@ error=Sum(W(x,y)*(F^2 + 2*F*(A*x^2+B*y^2+C*x*y+D*x+E*y-Z(x,y)) +(...) )
public DistortionParameters(
int correlationSize,
int maximalCorrelationSize,
double correlationGaussWidth,
boolean absoluteCorrelationGaussWidth,
int zeros,
......@@ -9082,6 +9176,7 @@ error=Sum(W(x,y)*(F^2 + 2*F*(A*x^2+B*y^2+C*x*y+D*x+E*y-Z(x,y)) +(...) )
){
this.correlationSize = correlationSize;
this.maximalCorrelationSize=maximalCorrelationSize;
this.correlationGaussWidth = correlationGaussWidth;
this.absoluteCorrelationGaussWidth=absoluteCorrelationGaussWidth;
this.zeros=zeros;
......@@ -9139,6 +9234,7 @@ error=Sum(W(x,y)*(F^2 + 2*F*(A*x^2+B*y^2+C*x*y+D*x+E*y-Z(x,y)) +(...) )
public DistortionParameters clone() {
return new DistortionParameters(
this.correlationSize,
this.maximalCorrelationSize,
this.correlationGaussWidth,
this.absoluteCorrelationGaussWidth,
this.zeros,
......@@ -9196,6 +9292,7 @@ error=Sum(W(x,y)*(F^2 + 2*F*(A*x^2+B*y^2+C*x*y+D*x+E*y-Z(x,y)) +(...) )
public void setProperties(String prefix,Properties properties){
properties.setProperty(prefix+"correlationSize",this.correlationSize+"");
properties.setProperty(prefix+"maximalCorrelationSize",this.maximalCorrelationSize+"");
properties.setProperty(prefix+"correlationGaussWidth",this.correlationGaussWidth+"");
properties.setProperty(prefix+"absoluteCorrelationGaussWidth",this.absoluteCorrelationGaussWidth+"");
properties.setProperty(prefix+"zeros",this.zeros+"");
......@@ -9254,6 +9351,8 @@ error=Sum(W(x,y)*(F^2 + 2*F*(A*x^2+B*y^2+C*x*y+D*x+E*y-Z(x,y)) +(...) )
public void getProperties(String prefix,Properties properties){
if (properties.getProperty(prefix+"correlationSize")!=null)
this.correlationSize=Integer.parseInt(properties.getProperty(prefix+"correlationSize"));
if (properties.getProperty(prefix+"maximalCorrelationSize")!=null)
this.maximalCorrelationSize=Integer.parseInt(properties.getProperty(prefix+"maximalCorrelationSize"));
if (properties.getProperty(prefix+"correlationGaussWidth")!=null)
this.correlationGaussWidth=Double.parseDouble(properties.getProperty(prefix+"correlationGaussWidth"));
if (properties.getProperty(prefix+"FFTSize")!=null)
......
src/main/java/SimulationPattern.java
View file @ d3b2b2c6
......@@ -877,7 +877,13 @@ Cv=(Cy*x-Cx*y)+(-Cy*Dx+Cx*Dy)
s=0.0;
for (py=iy0+sampLow;py<iy0+sampHigh;py++) for (px=ix0+sampLow;px<ix0+sampHigh;px++) {
/// s+=this.barray[py][px];
s+=this.barray[py*fullSize+px];
try {
s+=this.barray[py*fullSize+px];
} catch (Exception e){
System.out.println("Bug in extractSimulPatterns(): px="+px+" py="+py+" fullSize="+fullSize+" size="+size+" x0="+x0+" y0="+y0);
e.printStackTrace();
return null;
}
}
simul_pixels[n][iy*size+ix]= (s-sampleAverage)/sampleAverage;
}
......
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