I'm a newbie in OpenCV. I'm learning the Segmentation by Watershed algorithm and I have a problem.
I have to convert the image color to grayscale for using Watershed. When I use the BGR color space, no problem but with HSV, I'm not sure that the code below is correct.
Mat im = imread("./Image/118035.jpg", CV_LOAD_IMAGE_COLOR);
Mat imHSV;
cvtColor(im, imHSV, CV_BGR2HSV);
imshow("HSV", imHSV);
cvtColor(imHSV, imHSV, CV_BGR2GRAY);
imshow("HSV to gray", imHSV);
imshow("BGR", im);
cvtColor(im, im, CV_BGR2GRAY);
imshow("BGR to gray", im);
I think, after converting from BGR to HSV, Hue = Blue, Saturation = Green, Value = Red and I can use the operator BGR2GRAY for convert from HSV to grayscale.
The 2 output images are different. Can I convert HSV to grayscale like that?
//Is it similaire with color space LAB?
The conversion from HSV to gray is not necessary: you already have it. You can just select the V channel as your grayscale image by splitting the HSV image in 3 and taking the 3rd channel:
Mat im = imread("C:/local/opencv248/sources/samples/c/lena.jpg", CV_LOAD_IMAGE_COLOR);
Mat imHSV;
cvtColor(im, imHSV, CV_BGR2HSV);
imshow("HSV", imHSV);
//cvtColor(imHSV, imHSV, CV_BGR2GRAY);
Mat hsv_channels[3];
cv::split( imHSV, hsv_channels );
imshow("HSV to gray", hsv_channels[2]);
imshow("BGR", im);
cvtColor(im, im, CV_BGR2GRAY);
imshow("BGR to gray", im);
waitKey();