void doIterations(ImageProcessor ip, String mode) {
if (escapePressed) return;
if (!previewing && iterations > 1) IJ.showStatus(arg + "... press ESC to cancel");
for (int i = 0; i < iterations; i++) {
if (Thread.currentThread().isInterrupted()) return;
if (IJ.escapePressed()) {
escapePressed = true;
ip.reset();
return;
}
if (mode.equals("erode")) ((ByteProcessor) ip).erode(count, background);
else ((ByteProcessor) ip).dilate(count, background);
}
}
public GrayLevelClass(ByteProcessor img, boolean first) {
if (!probabilityHistogramDone) {
int[] histogram = img.getHistogram();
probabilityHistogram = new float[256];
for (int i = 0; i < 256; i++) {
probabilityHistogram[i] = ((float) histogram[i]) / ((float) N);
// IJ.write(" "+probabilityHistogram[i]);
}
probabilityHistogramDone = true;
}
if (first) {
index = 1;
omega = probabilityHistogram[index - 1];
if (omega == 0) mu = 0;
else mu = 1 * probabilityHistogram[index - 1] / omega;
} else {
index = 2;
omega = 0;
mu = 0;
for (int i = index; i < 256; i++) {
omega += probabilityHistogram[i - 1];
mu += probabilityHistogram[i - 1] * i;
}
if (omega == 0) mu = 0;
else mu /= omega;
}
}
void skeletonize(ImageProcessor ip) {
if (Prefs.blackBackground) ip.invert();
boolean edgePixels = hasEdgePixels(ip);
ImageProcessor ip2 = expand(ip, edgePixels);
((ByteProcessor) ip2).skeletonize();
ip = shrink(ip, ip2, edgePixels);
if (Prefs.blackBackground) ip.invert();
}
void outline(ImageProcessor ip) {
if (Prefs.blackBackground) ip.invert();
((ByteProcessor) ip).outline();
if (Prefs.blackBackground) ip.invert();
}
