salient_AC.m

close all
clear
clc

imgname = 'test_images/board.jpg';
img = imread(imgname);
dim = size(img);
width = dim(2);height = dim(1);
md = min(width, height);%minimum dimension

% rgb2lab
lab = rgb2lab(img); % default D65
l = double(lab(:,:,1));
a = double(lab(:,:,2));
b = double(lab(:,:,3));

% Saliency map computation
sm = zeros(height, width);
off1 = int32(md/2); off2 = int32(md/4); off3 = int32(md/8);
for j = 1:height
    y11 = max(1,j-off1); y12 = min(j+off1,height);
    y21 = max(1,j-off2); y22 = min(j+off2,height);
    y31 = max(1,j-off3); y32 = min(j+off3,height);
    for k = 1:width
        x11 = max(1,k-off1); x12 = min(k+off1,width);
        x21 = max(1,k-off2); x22 = min(k+off2,width);
        x31 = max(1,k-off3); x32 = min(k+off3,width);
        lm1 = mean2(l(y11:y12,x11:x12));am1 = mean2(a(y11:y12,x11:x12));bm1 = mean2(b(y11:y12,x11:x12));
        lm2 = mean2(l(y21:y22,x21:x22));am2 = mean2(a(y21:y22,x21:x22));bm2 = mean2(b(y21:y22,x21:x22));
        lm3 = mean2(l(y31:y32,x31:x32));am3 = mean2(a(y31:y32,x31:x32));bm3 = mean2(b(y31:y32,x31:x32));
        %---------------------------------------------------------
        % Compute conspicuity values and add to get saliency value.
        %---------------------------------------------------------
        cv1 = (l(j,k)-lm1).^2 + (a(j,k)-am1).^2 + (b(j,k)-bm1).^2;
        cv2 = (l(j,k)-lm2).^2 + (a(j,k)-am2).^2 + (b(j,k)-bm2).^2;
        cv3 = (l(j,k)-lm3).^2 + (a(j,k)-am3).^2 + (b(j,k)-bm3).^2;
        sm(j,k) = cv1 + cv2 + cv3;
    end
end

imshow(sm,[]);
%---------------------------------------------------------