void init() {
m_nExcludingType = -1;
m_pnPixelsCompensated = new int[h][w];
m_pnPixels = new int[h][w];
m_pnPixelsTemp = new int[h][w];
constructRings();
m_cvHists = new ArrayList();
CommonMethods.getPixelValue(impl, impl.getCurrentSlice(), m_pnPixels);
Point p = new Point(0, 0);
int pRange[] = new int[2];
CommonMethods.getPixelValueRange_Stack(impl, pRange);
int nNumRings = m_cvRings.size();
m_pcMeanSems_Mean = new MeanSem0[nNumRings];
m_pcMeanSems_Median = new MeanSem0[nNumRings];
m_cPixelMeanSems = new MeanSem0();
m_cAreaMeanSems_Mean = new MeanSem0();
m_cAreaMeanSems_Median = new MeanSem0();
Histogram hist;
for (int r = 0; r < nNumRings; r++) {
hist = new Histogram();
hist.update(0, pRange[0], pRange[1], 1);
m_cvHists.add(hist);
m_pcMeanSems_Mean[r] = new MeanSem0();
m_pcMeanSems_Median[r] = new MeanSem0();
}
m_pdAutoCorr_mean = new double[nNumRings];
m_pdAutoCorr_median = new double[nNumRings];
m_nPercentileDivision = (int) (1. / m_dDeltaPercentile);
m_pcRingMeanSems_Mean = new MeanSem0[m_nPercentileDivision][nNumRings];
m_pcRingMeanSems_Median = new MeanSem0[m_nPercentileDivision][nNumRings];
m_cPixelMeanSems_trail = new MeanSem0[m_nPercentileDivision];
m_pnAveRadius = new int[m_nPercentileDivision];
m_pnStamp = new int[h][w];
}
