Cycle through pixels with opencv

Question

How would I be able to cycle through an image using opencv as if it were a 2d array to get the rgb values of each pixel? Also, would a mat be preferable over an iplimage for this operation?

Answer 1

cv::Mat is preferred over IplImage because it simplifies your code

cv::Mat img = cv::imread("lenna.png"); for(int i=0; i<img.rows; i++)     for(int j=0; j<img.cols; j++)          // You can now access the pixel value with cv::Vec3b         std::cout << img.at<cv::Vec3b>(i,j)[0] << " " << img.at<cv::Vec3b>(i,j)[1] << " " << img.at<cv::Vec3b>(i,j)[2] << std::endl; 

This assumes that you need to use the RGB values together. If you don't, you can uses cv::split to get each channel separately. See etarion's answer for the link with example.

Also, in my cases, you simply need the image in gray-scale. Then, you can load the image in grayscale and access it as an array of uchar.

cv::Mat img = cv::imread("lenna.png",0); for(int i=0; i<img.rows; i++)     for(int j=0; j<img.cols; j++)         std::cout << img.at<uchar>(i,j) << std::endl; 

UPDATE: Using split to get the 3 channels

cv::Mat img = cv::imread("lenna.png"); std::vector<cv::Mat> three_channels = cv::split(img);  // Now I can access each channel separately for(int i=0; i<img.rows; i++)     for(int j=0; j<img.cols; j++)         std::cout << three_channels[0].at<uchar>(i,j) << " " << three_channels[1].at<uchar>(i,j) << " " << three_channels[2].at<uchar>(i,j) << std::endl;  // Similarly for the other two channels 

UPDATE: Thanks to entarion for spotting the error I introduced when copying and pasting from the cv::Vec3b example.