#include "CHelpers.h" double* createCircleKernel(int rad, Vec<unsigned int>& kernelDims) { kernelDims.x = rad%2==0 ? rad+1 : rad; kernelDims.y = rad%2==0 ? rad+1 : rad; kernelDims.z = rad%2==0 ? rad+1 : rad; double* kernel = new double[kernelDims.product()]; memset(kernel,0,sizeof(double)*kernelDims.product()); Vec<unsigned int> mid; mid.x = kernelDims.x/2+1; mid.y = kernelDims.y/2+1; mid.z = kernelDims.z/2+1; Vec<unsigned int> cur(0,0,0); for (cur.x=0; cur.x < kernelDims.x ; ++cur.x) { for (cur.y=0; cur.y < kernelDims.y ; ++cur.y) { for (cur.z=0; cur.z < kernelDims.z ; ++cur.z) { if (cur.EuclideanDistanceTo(mid)<=rad) kernel[kernelDims.linearAddressAt(cur)] = 1; } } } return kernel; } int calcOtsuThreshold(const double* normHistogram, int numBins) { //code modified from http://www.dandiggins.co.uk/arlib-9.html double totalMean = 0.0f; for (int i=0; i<numBins; ++i) totalMean += i*normHistogram[i]; double class1Prob=0, class1Mean=0, temp1, curThresh; double bestThresh = 0.0; int bestIndex = 0; for (int i=0; i<numBins; ++i) { class1Prob += normHistogram[i]; class1Mean += i * normHistogram[i]; temp1 = totalMean * class1Prob - class1Mean; curThresh = (temp1*temp1) / (class1Prob*(1.0f-class1Prob)); if(curThresh>bestThresh) { bestThresh = curThresh; bestIndex = i; } } return bestIndex; }