private void calculateGreyValues() {
int size = image.getPixelCount();
int gray;
for (int pos = 0; pos < size; pos++) {
gray = image.get(pos);
grayValue[pos] = (byte) (gray / GRAY_SCALE); // quantized for texture analysis
grayHistogram[gray]++;
}
Arrays2.div(grayHistogram, size);
}
private void process(ColorProcessor ip) {
double[] feature = new double[binX * binY * binZ];
int processedPixels = 0;
ImageProcessor mask = ip.getMask();
int numpixels = ip.getPixelCount();
float[] hsbvals = new float[3]; // Conversion buffer
for (int i = 0; i < numpixels; i++) {
if (mask == null || mask.get(i) != 0) {
if (type == TYPE.HSB) {
feature[getBinForHSB(ip.get(i), hsbvals)]++;
} else if (type == TYPE.RGB) {
feature[getBinForRGB(ip.get(i))]++;
}
processedPixels++;
}
}
Arrays2.div(feature, processedPixels);
addData(feature);
}
/**
* Normalizes the array by the given sum. by dividing each 2nd dimension array componentwise by
* the sum.
*
* @param A
* @param sum
*/
private void normalize(double[][] A, double sum) {
for (int i = 0; i < A.length; i++) {
Arrays2.div(A[i], sum);
}
}
