Use Mat::split, which splits multi-channel image into several single-channel arrays.
Example:
Mat src = imread("img.png",CV_LOAD_IMAGE_COLOR); //load image
Mat bgr[3]; //destination array
split(src,bgr);//split source
//Note: OpenCV uses BGR color order
imwrite("blue.png",bgr[0]); //blue channel
imwrite("green.png",bgr[1]); //green channel
imwrite("red.png",bgr[2]); //red channel
The code really helped me. I just want to ask about end results of channels, they are really red, green and blue channels images like in matlab or in grayscale(three same images but different ray level)? I am asking this because I get the color of channels iin grayscale instead of red, green and blue channel image respectively, thanks in advance.
Asked: 2015-04-10 21:36:32 -0600
Seen: 107,378 times
Last updated: Apr 22 '16
