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imagej-elphel
Commit 71215e97 authored by Andrey Filippov's avatar Andrey Filippov
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more on factorization

parent 4754c088
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Showing with 23 additions and 19 deletions
src/main/java/Eyesis_Correction.java
View file @ 71215e97
......@@ -2835,8 +2835,8 @@ private Panel panel1,panel2,panel3,panel4,panel5,panel5a, panel6,panel7,panelPos
factorConvKernel.setDebugLevel(DEBUG_LEVEL);
factorConvKernel.numIterations = DCT_PARAMETERS.LMA_steps;
factorConvKernel.setCompactnessWeight(DCT_PARAMETERS.compactness);
int target_kernel_size = 2*DCT_PARAMETERS.dct_size + DCT_PARAMETERS.asym_size -1;
//// int target_kernel_size = 2*DCT_PARAMETERS.dct_size + DCT_PARAMETERS.asym_size -1;
int target_kernel_size = 2*DCT_PARAMETERS.dct_size + DCT_PARAMETERS.asym_size -2;
double [] target_kernel = new double [target_kernel_size * target_kernel_size];
for (int ii=0; ii < target_kernel.length; ii++) target_kernel[ii]=0.0;
// for (int ii = -2; ii<=2; ii++) {
......
src/main/java/FactorConvKernel.java
View file @ 71215e97
......@@ -150,8 +150,8 @@ public class FactorConvKernel {
private double [] setInitialVector(
double [] target_kernel) // should be (asym_size + 2*sym_radius-1)**2
{
int conv_size = asym_size + 2*sym_radius-1;
// int sym_size = 2*sym_radius - 1;
// int conv_size = asym_size + 2*sym_radius-1;
int conv_size = asym_size + 2*sym_radius-2;
int sym_rad_m1 = sym_radius - 1; // 7
// find center of the target kernel squared value
double s0=0.0,sx=0.0,sy=0.0;
......@@ -170,7 +170,8 @@ public class FactorConvKernel {
int j0= (int) Math.round(sx/s0 - sym_rad_m1); // should be ~ async_center
int i0= (int) Math.round(sy/s0 - sym_rad_m1); // should be ~ async_center
if (debugLevel>1){
System.out.println("setInitialVector(): fi0 = "+(sy/s0 - sym_radius)+" fj0 = "+(sx/s0 - sym_radius));
System.out.println("setInitialVector(): conv_size = "+conv_size+" fj0 = "+(sx/s0 - sym_radius));
System.out.println("setInitialVector(): fi0 = "+(sy/s0 - sym_radius)+" asym_size = "+asym_size+" sym_radius = "+sym_radius);
System.out.println("setInitialVector(): i0 = "+i0+" j0 = "+j0 + " asym_size="+asym_size);
}
// fit i0,j0 to asym_kernel (it should be larger)
......@@ -245,10 +246,12 @@ public class FactorConvKernel {
private double [] convKernels(
double [] kvect) // first - all elements of sym kernel but [0] (replaced by 1.0), then - asym ones
{
int conv_size = asym_size + 2*sym_radius-1;
double [] conv_data = new double [conv_size*conv_size];
// int asym_start= (2 * sym_radius - 1) * (2 * sym_radius - 1)-1;
//// int conv_size = asym_size + 2*sym_radius-1;
int conv_size = asym_size + 2*sym_radius-2;
int asym_start= sym_radius * sym_radius - 1;
int sym_radius_m1 = sym_radius -1;
double [] conv_data = new double [conv_size*conv_size];
if (this.debugLevel>2){
System.out.println("convKernels(): vector_length= "+kvect.length);
System.out.println("convKernels(): sym_radius= "+sym_radius);
......@@ -258,14 +261,15 @@ public class FactorConvKernel {
System.out.println("convKernels(): asym_start= "+asym_start);
}
for (int i = 0; i < conv_data.length; i++) conv_data[i] = 0.0;
for (int i = -sym_radius+1; i < sym_radius; i++) {
for (int j = -sym_radius+1; j < sym_radius; j++) {
for (int i = -sym_radius_m1; i <= sym_radius_m1; i++) {
for (int j = -sym_radius_m1; j <= sym_radius_m1; j++) {
int indx = ((i < 0)? -i : i) * sym_radius + ((j < 0)? -j : j);
double sd = (indx >0)? kvect[indx -1] : 1.0;
int base_indx = conv_size * (i + sym_radius -1) + (j + sym_radius -1);
int base_indx = conv_size * (i + sym_radius_m1) + (j + sym_radius_m1);
for (int ia=0; ia < asym_size; ia++) {
for (int ja=0; ja < asym_size; ja++) {
conv_data[base_indx + conv_size * ia + ja] += sd* kvect[asym_size * ia + ja + asym_start];
int async_index = asym_size*ia + ja + asym_start;
conv_data[base_indx + conv_size * ia + ja] += sd* kvect[async_index];
}
}
}
......@@ -316,14 +320,15 @@ public class FactorConvKernel {
private double [][] getJacobian(
double [] kvect)
{
int conv_size = asym_size + 2*sym_radius-1;
// int asym_start = (2 * sym_radius - 1) * (2 * sym_radius - 1)-1;
//// int conv_size = asym_size + 2*sym_radius-1;
int conv_size = asym_size + 2*sym_radius-2;
int asym_start= sym_radius * sym_radius - 1;
int sym_radius_m1 = sym_radius -1;
double cw = getCompactWeight();
double [][] jacob = new double [kvect.length][conv_size*conv_size + asym_size*asym_size];
int asym_terms_start=conv_size*conv_size;
for (int i = -sym_radius+1; i < sym_radius; i++) {
for (int j = -sym_radius+1; j < sym_radius; j++) {
for (int i = -sym_radius_m1; i <= sym_radius_m1; i++) {
for (int j = -sym_radius_m1; j <=sym_radius_m1; j++) {
int indx = ((i < 0)? -i : i) * sym_radius + ((j < 0)? -j : j);
double sd = (indx >0)? kvect[indx -1] : 1.0;
int base_indx = conv_size * (i + sym_radius -1) + (j + sym_radius -1);
......@@ -333,8 +338,6 @@ public class FactorConvKernel {
int conv_index = base_indx + conv_size * ia + ja;
if (indx > 0) jacob[indx-1][conv_index] += kvect[async_index];
jacob[async_index][conv_index] += sd;
// conv_data[base_indx + conv_size * ia + ja] += sd* kvect[asym_size * ia + ja + asym_start];
}
}
}
......@@ -382,8 +385,9 @@ public class FactorConvKernel {
jTByDiff[i] += jacob[i][k]*(target_kernel[k]-conv_data[k]);
}
}
//// int conv_size = asym_size + 2*sym_radius-1;
int conv_size = asym_size + 2*sym_radius-2;
int asym_start= sym_radius * sym_radius - 1;
int conv_size = asym_size + 2*sym_radius-1;
int asym_terms_start= conv_size*conv_size;
double cw = getCompactWeight();
for (int ia=0; ia <asym_size;ia++){
......
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