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]; }