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#include <cv.h> #include <highgui.h> #include <iostream> #include <cmath> #include <cstdlib> #include <fstream> using namespace std; typedef struct histBundle { double rCh[256]; double gCh[256]; double bCh[256]; }bundleForHist; bundleForHist getHistFromImage (IplImage* img, int numBins) { float range[] = { 0, numBins }; float *ranges[] = { range }; bundleForHist bfh; CvHistogram *hist = cvCreateHist (1, &numBins, CV_HIST_ARRAY, ranges, 1); cvClearHist (hist); IplImage* imgRed = cvCreateImage(cvGetSize(img), 8, 1); IplImage* imgGreen = cvCreateImage(cvGetSize(img), 8, 1); IplImage* imgBlue =

Using OpenCv 2.4 I have two options to load images: 1- CvMat and Imread 2- IpImage and CvLoadImage Which one is better to use? I tried mixing the two and end up in seg fault. imread returns a Mat , not CvMat . They are the two different interfaces ( Mat / imread for C++ and Ipl... and Cv.. for C interface). The C++ interface is nicer, safer and easier to use. It automatically handles memory for you, and allows you to write less code for the same task. The OpenCV guys advocate for the usage of C++, unless some very specific project requirements force you to C. Example (C++) cv::Mat image =

Delivering SCADA solutions, we often get the our end user specifications specified in Structured Control Diagram (visio like flow diagrams seen below) that are often submitted in PDF format or as images. In order to access these in C#, I was hoping to use one of the OpenCV libraries. I was looking at template recognition, but it seems a wrong fit to start feeding into a machine learning algorithm to teach it to recognize the preknown specific shape of boxes and arrows. The libraries I've looked at have some polyedge functions. However, as can be seen from the example below there is the danger