ft.rar_FT 算法_FT显著性检测_FT显著性算法_FT算法_lab检测

%--------------------------------------------------------- % Read image and blur it with a 3x3 or 5x5 Gaussian filter %--------------------------------------------------------- img = imread('C:\Users\yang\Desktop\Saliency_yang\9.jpg');%Provide input image path gfrgb = imfilter(img, fspecial('gaussian', 3, 3), 'symmetric', 'conv'); %--------------------------------------------------------- % Perform sRGB to CIE Lab color space conversion (using D65) %--------------------------------------------------------- cform = makecform('srgb2lab'); % cform = makecform('srgb2lab', 'WhitePoint', whitepoint('d65')); lab = applycform(gfrgb,cform); %--------------------------------------------------------- % Compute Lab average values (note that in the paper this % average is found from the unblurred original image, but % the results are quite similar) %--------------------------------------------------------- l = double(lab(:,:,1)); lm = mean(mean(l)); a = double(lab(:,:,2)); am = mean(mean(a)); b = double(lab(:,:,3)); bm = mean(mean(b)); %--------------------------------------------------------- % Finally compute the saliency map and display it. %--------------------------------------------------------- sm = (l-lm).^2 + (a-am).^2 + (b-bm).^2; imshow(sm,[]);