![]() ![]() Imgproc.cvtColor(img, grayImg, Imgproc. COLORGRAY2BGR color mode basically replaces all B, G, R channels with the gray value Y, so BY, GY, RY. So any 3 channel image becomes 1 channel. GrayImg = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 1 Answer Sorted by: 2 COLORBGR2GRAY color mode estimates a gray value for each pixel using a weighted sum of B, G, R channels, wRR+wGG+wBBY per pixel. ![]() Grayscale value is calculated as weighted sum of the R, G, and B colour components. OpenCV uses weighted method, also known as luminosity method for RGB to grayscale conversion. image cv2.cvtColor (image, cv2.COLORRGB2GRAY) plt. I've converted the raw image read by OpenCV to RGB-format, again converted it to gray scale using cv2.cvtColor (), and tried to display it using pyplot.imshow () function. Note that, OpenCV loads an image where the order of the color channels is Blue, Green, Red (BGR) instead of RGB. Unlike the example of the previous chapter which loads color image as a grayscale image, this code will load color image and then convert it to grayscale. When I tried to convert an RGB image with OpenCV function cv2.cvtColor (), I got a green-like image. ![]() BGR2GRAY code is used to convert RGB image to grayscale image. This function accepts color conversion code. OpenCV provides cvtColor function that allows to convert an image from one color space to another. This tutorial provides example how to convert RGB image to grayscale image using OpenCV. During image processing RGB images are often converted to grayscale images because smaller amount of data allows to perform more complex image processing operations faster.
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