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
cv::Mat is preferred over IplImage because it simplifies your code
cv::Mat img = cv::imread("lenna.png");
for(int i=0; i(i,j)[0] << " " << img.at(i,j)[1] << " " << img.at(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(i,j) << std::endl;
UPDATE: Using split to get the 3 channels
cv::Mat img = cv::imread("lenna.png");
std::vector three_channels = cv::split(img);
// Now I can access each channel separately
for(int i=0; i(i,j) << " " << three_channels[1].at(i,j) << " " << three_channels[2].at(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.