OpenCV- Working with OpenCV

Version 2.2 of the opencv library has divided its library into modules. These library modules have their own associated header files which is required therefore any code you see on the internet that looks like this: #include "cv.h" #include <cv.h> and so on is done using the old style, C or C++. However after the restructuring of the opencv library into modules, not all functionality was ported to the new style: #include <opencv2/core/core.hpp> one example of such method is the LOGPOLAR transform. Another thing to take note here is, the old deprecated IplImage is changed to the matrix cv::Mat. therefore you should avoid using such unless your using the old style. For the Log-Polar Transform i will be using this header file: #include <opencv2/imgproc/imgproc_c.h> Also to make things easy, ive created a class to convert between cv::Mat and IplImage class atsoldtonew { public:     IplImage convertOld(cv::Mat MatImage)     { ...

if you have an OK background on C++ you can follow easily: ive seperated the camera capturing and the edge detection to separate classes. the main entry point remains the same. you can use the code to add a new class to process images using the atscameraCapture class. #include <iostream> #include <iomanip> #include <sstream> #include <string> #include <vector> #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> //for atsEdges #include <opencv2/imgproc/imgproc.hpp> class atscameraCapture { public:     cv::Mat ats_getImage()     {         //check if Camera is still open         if (!cap.isOpened())         {             std::cout< "Cant Capture";             exit(0);     ...

The logpolar transform function emulates the human “foveal” vision and can be used for fast scale and rotation-invariant template matching , for object tracking and so forth. The function can not operate in-place. "The foveal system of the human eye is the only part of the retina that permits 100% visual acuity. The line-of-sight is a virtual line connecting the fovea with a fixation point in the outside world." Wikipedia; Code: #include <opencv2/video/tracking.hpp> #include <opencv2/highgui/highgui.hpp> #include <stdio.h> #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/features2d/features2d.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/calib3d/calib3d.hpp> #include <opencv2/imgproc/imgproc_c.h> #include <opencv2/video/tracking.hpp> #include <iostream> #include <vector> int main(int argc, char** argv) { CvCapture *capture = 0; IplImage *src = 0; /* initialize camera ...

An affine transform allows the user to warp, stretch, rotate and resize an image or a footage from a camera. Essentially the image is multiplied by 2x3 matrix to perform the transformation. An affine transform produces parallelograms (which includes standard rectangles). #include <opencv2/video/tracking.hpp> #include <opencv2/highgui/highgui.hpp> #include <stdio.h> #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/features2d/features2d.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/calib3d/calib3d.hpp> #include <opencv2/imgproc/imgproc_c.h> #include <opencv2/video/tracking.hpp> #include <iostream> #include <vector> int angle_switch_value = 0; int angleInt = 0; int scale_switch_value = 0; int scaleInt = 0; void switch_callback_a( int position ){ angleInt = position; } void switch_callback_s( int position ){ scaleInt = position; } int main(int argc, char** argv) { // Set up variab...

#include <opencv2/video/tracking.hpp> #include <opencv2/highgui/highgui.hpp> #include <stdio.h> #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/features2d/features2d.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/calib3d/calib3d.hpp> #include <opencv2/imgproc/imgproc_c.h> #include <opencv2/video/tracking.hpp> #include <iostream> #include <vector> // define whether to use approximate nearest-neighbor search #define USE_FLANN IplImage *image = 0; double compareSURFDescriptors( const float* d1, const float* d2, double best, int length ) { double total_cost = 0; assert( length % 4 == 0 ); for( int i = 0; i < length; i += 4 ) { double t0 = d1[i] - d2[i]; double t1 = d1[i+1] - d2[i+1]; double t2 = d1[i+2] - d2[i+2]; double t3 = d1[i+3] - d2[i+3]; total_cost += t0*t0 + t1*t1 + t2*t2 + t3*t3; if( total_cost > best ) break; } return total_cost; } int naiveNearestNe...

#include <stdlib.h> #include <stdio.h> #include <math.h> #include <string.h> #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/features2d/features2d.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/calib3d/calib3d.hpp> #include <opencv2/imgproc/imgproc_c.h> #include <opencv2/video/tracking.hpp> #include <iostream> #include <vector> using namespace std; int main(int argc, char** argv) { CvMemStorage* storage = cvCreateMemStorage(0); cvNamedWindow("Object", 1); int key = 0; static CvScalar colors[] = { {{0,0,255}}, {{0,128,255}}, {{0,255,255}}, {{0,255,0}}, {{255,128,0}}, {{255,255,0}}, {{255,0,0}}, {{255,0,255}}, {{255,255,255}} }; CvCapture* capture = cvCreateCameraCapture(0); CvMat* prevgray = 0, *image = 0, *gray =0; while( key != 'q' ) { int firstFrame = gray == 0; IplImage* frame = cvQueryFrame(captur...

Im reusing the SURF implementation in the samples, what ive added is the camera, so im matching an image.jpg to a frame captured from the camera #include <stdlib.h> #include <stdio.h> #include <math.h> #include <string.h> #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/features2d/features2d.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/calib3d/calib3d.hpp> #include <opencv2/imgproc/imgproc_c.h> #include <opencv2/video/tracking.hpp> #include <iostream> #include <vector> using namespace std; void help() { printf( "This program demonstrated the use of the SURF Detector and Descriptor using\n" "either FLANN (fast approx nearst neighbor classification) or brute force matching\n" "on planar objects.\n" "Call:\n" "./find_obj...

#include <stdlib.h> #include <stdio.h> #include <math.h> #include <string.h> #include<opencv2\opencv.hpp> #include <opencv2\highgui\highgui.hpp> int main(int argc, char *argv[]) { CvCapture *capture = 0; IplImage *frame = 0; int key = 0; /* initialize camera */ capture = cvCaptureFromCAM( 0 ); /* always check */ if ( !capture ) { printf("Cannot open initialize webcam!\n" ); exit(0); } /* create a window for the video */ cvNamedWindow( "result", CV_WINDOW_AUTOSIZE ); while( key != 'q' ) { /* get a frame */ frame = cvQueryFrame( capture ); /* always check */ if( !frame ) break; /* display current frame */ cvShowImage( "result", frame ); /* exit if user press 'q' */ key = cvWaitKey( 1 ); } /* free memory */ cvDestroyWindow( "result...