void stampIPOs() {
calAveRadius();
int i, j;
for (i = 0; i < h; i++) {
for (j = 0; j < w; j++) {
m_pnStamp[i][j] = 0;
}
}
int numRings = m_cvRings.size();
m_cIMSC.reset();
Point pt;
int index, step = 0, r0;
ImageShape shape;
while (true) {
pt = m_cIMSC.getPosition();
index = getPercentileIndex(step);
r0 = m_pnAveRadius[index];
for (i = 0; i <= r0; i++) {
shape = m_cvRings.get(i);
shape.setCenter(pt);
ImageShapeHandler.setValue(m_pnStamp, shape, m_nExcludingType);
}
if (m_cIMSC.done()) break;
m_cIMSC.move();
step++;
}
}
int calCompensatedPixels() {
int numRings = m_cvRings.size();
CommonStatisticsMethods.copyArray(m_pnPixels, m_pnPixelsCompensated);
CommonMethods.displayPixels(m_pnPixelsCompensated, "before compensation", impl.getType());
m_cIMSC.reset();
Point pt;
int index, step = 0, pixel, i, r0;
double dm, dsur;
ImageShape shape;
while (true) {
pt = m_cIMSC.getPosition();
index = getPercentileIndex(step);
dsur = m_pcRingMeanSems_Mean[index][m_nRMax].mean;
r0 = m_pnAveRadius[index];
//
// m_pnPixelsCompensated[pt.y][pt.x]-=(int)(m_cPixelMeanSems_trail[index].mean-dsur);
for (i = 0; i < numRings; i++) {
pixel = (int) (m_pcRingMeanSems_Mean[index][i].mean - dsur);
if (pixel < 1) break;
shape = m_cvRings.get(i);
shape.setCenter(pt);
ImageShapeHandler.addValue(m_pnPixelsCompensated, shape, -pixel);
}
if (m_cIMSC.done()) break;
m_cIMSC.move();
step++;
}
CommonMethods.displayPixels(m_pnPixelsCompensated, "after compensation", impl.getType());
return 1;
}
public void calAutoCorrelation_RingMean(
int
nRefType) { // crosscorrelation coefficients between pixel valuse and the means and
// medians of the pixels located on the cocentric rings with radius up to
// m_nRMax
m_nRefType = nRefType;
int numRings = m_cvRings.size();
calRefPixels();
int r, c;
int len = m_cIMSC.m_nTotalSteps + 1;
double[] pixels0 = new double[len];
double[] meanr = new double[len];
double[] medianr = new double[len];
int index = 0;
Point p;
index = 0;
while (true) {
p = m_cIMSC.getPosition();
pixels0[index] = m_pnPixelsLR[p.y][p.x];
index++;
if (m_cIMSC.done()) break;
m_cIMSC.move();
}
ImageShape shape;
Histogram hist = CommonMethods.getDefaultHistogram(m_pnPixelsLR);
int y, y0 = 0;
int nRef;
for (c = 0; c < numRings - 1; c++) {
index = 0;
m_cIMSC.reset();
y0 = m_cIMSC.getPosition().y;
shape = m_cvRings.get(c);
while (true) {
p = m_cIMSC.getPosition();
nRef = getRefPixel(p);
y = p.y;
if (y > y0) {
IJ.showStatus(
"calAutoCorrelation_RingMean: r="
+ PrintAssist.ToString(c + 1)
+ " y="
+ PrintAssist.ToString(y));
y0 = y;
}
CommonMethods.fillHistogram(m_pnPixels, nRef, shape, p, hist);
meanr[index] = hist.getMean();
medianr[index] = hist.getPercentileValue();
index++;
if (m_cIMSC.done()) break;
m_cIMSC.move();
}
m_pdAutoCorr_mean[c] = CommonStatisticsMethods.crossCorrelationCoefficient(pixels0, meanr, 0);
m_pdAutoCorr_median[c] =
CommonStatisticsMethods.crossCorrelationCoefficient(pixels0, medianr, 0);
}
}
public void exportPixelHeights(String path) {
Formatter fm = FileAssist.getFormatter(path);
PrintAssist.printString(fm, "i", 8);
PrintAssist.printString(fm, "X", 8);
PrintAssist.printString(fm, "Y", 8);
PrintAssist.printString(fm, "Height", 12);
int nSize = m_dvRs.size();
int i, r0 = 0;
double r;
for (i = 0; i < nSize; i++) {
r = m_dvRs.get(i);
if (r > m_nRRefI) break;
PrintAssist.printString(fm, "r=" + PrintAssist.ToString(r, 3), 10);
r0++;
}
PrintAssist.printString(fm, "sur", 10);
PrintAssist.endLine(fm);
int len = m_cIMSC.getTotalSteps() + 1;
m_cIMSC.reset();
Point p;
int step = 0;
double height;
int numRings = m_cvRings.size();
while (true) {
p = m_cIMSC.getPosition();
height = m_pdPixelHeights[step];
PrintAssist.printNumber(fm, step, 8, 0);
PrintAssist.printNumber(fm, p.x, 8, 0);
PrintAssist.printNumber(fm, p.y, 8, 0);
PrintAssist.printNumber(fm, height, 12, 1);
for (i = 0; i < r0; i++) {
PrintAssist.printNumber(fm, m_pdRingMean[step][i], 10, 2);
}
PrintAssist.printNumber(fm, m_pdRingMean[step][numRings - 1], 10, 2);
PrintAssist.endLine(fm);
if (m_cIMSC.done()) break;
m_cIMSC.move();
step++;
}
fm.close();
}
public void resetImageScanner() {
m_cIMSC.reset();
}
int refinePixelStatitics() {
stampIPOs();
int[][] pixelsTemp = m_pnPixels;
m_pnPixels = m_pnPixelsCompensated;
m_cIMSC.reset();
int len = m_cIMSC.m_nTotalSteps + 1;
int i, c, step = 0;
Point p = m_cIMSC.getPosition();
int index = 0;
ImageShape shape;
Histogram hist;
double mean, median;
int y, y0 = 0;
int pixel, nRef;
double dsur;
int numRings = m_cvRings.size();
while (true) {
p = m_cIMSC.getPosition();
y = p.y;
if (y > y0)
IJ.showStatus(
"refinePixelStatistics "
+ PrintAssist.ToString(y)
+ "-th line of "
+ PrintAssist.ToString(h)
+ " lines!");
index = getPercentileIndex(step);
dsur = m_pcRingMeanSems_Mean[index][m_nRMax].mean;
ImageShapeHandler.copyElements(m_pnPixelsCompensated, m_pnPixelsTemp, m_cvRings, p);
for (i = 0; i < numRings; i++) {
pixel = (int) (m_pcRingMeanSems_Mean[index][i].mean - dsur);
if (pixel < 1) break;
shape = m_cvRings.get(i);
shape.setCenter(p);
ImageShapeHandler.addValue(m_pnPixelsTemp, shape, pixel);
}
nRef =
(int) ImageShapeHandler.getMean(m_pnPixelsTemp, m_cRefRing, m_pnStamp, m_nExcludingType);
CommonMethods.fillHistogram(
m_pnPixelsTemp,
nRef,
m_cvRings.get(numRings - 1),
p,
m_cvHists.get(numRings - 1),
m_pnStamp,
m_nExcludingType);
CommonMethods.fillHistograms(m_pnPixelsTemp, nRef, m_cvRings, p, m_cvHists);
for (i = 0; i < numRings; i++) {
hist = m_cvHists.get(i);
mean = hist.getMeanSem().mean;
median = hist.getPercentileValue();
m_pdRingMean[step][i] = mean;
m_pdRingMedian[step][i] = median;
}
// m_pnPixels_trail[step]=m_pnPixelsTemp[p.y][p.x]-nRef;
if (m_cIMSC.done()) break;
m_cIMSC.move();
step++;
}
for (c = 0; c < numRings; c++) {
m_pcMeanSems_Median[c] = CommonStatisticsMethods.buildMeanSem(m_pdRingMedian, c);
m_pcMeanSems_Mean[c] = CommonStatisticsMethods.buildMeanSem(m_pdRingMean, c);
}
if (m_bPresetPoints) {
len = pixelsOfPresetPoints.size();
int num = len / m_nPercentileDivision;
int rI, rF;
for (i = 0; i < m_nPercentileDivision; i++) {
rI = Math.max(0, (int) ((i - .5) * num));
rF = Math.min(len - 1, (int) ((i + .5) * num));
for (c = 0; c < numRings; c++) {
m_pcRingMeanSems_Median[i][c] =
CommonStatisticsMethods.buildMeanSem(m_pdRingMedian, rI, rF, 1, c);
m_pcRingMeanSems_Mean[i][c] =
CommonStatisticsMethods.buildMeanSem(m_pdRingMean, rI, rF, 1, c);
}
}
}
m_pnPixels = pixelsTemp;
return 1;
}