Hello Sansri,
You can perhaps modify this script that makes basic saliency map using intensity, color, and orientation features. You can need to delve into more detailed aspects of the model for a complete implementation.
% Read and preprocess the image
img = imread('your_image.jpg');
img = im2double(img);
% Convert the image to grayscale for intensity feature
intensity = rgb2gray(img);
% Extract color channels
red = img(:,:,1);
green = img(:,:,2);
blue = img(:,:,3);
% Compute color features
rg = (red - green) ./ 2;
by = (blue - min(red, green)) ./ 2;
% Compute orientation features using Gabor filters
orientations = [0, 45, 90, 135];
gaborArray = gabor(2, orientations);
% Apply Gabor filters
gaborMag = imgaborfilt(intensity, gaborArray);
% Combine features into a saliency map
% This is a simplified version, combining using addition
saliencyMap = intensity + rg + by + sum(gaborMag, 3);
% Normalize the saliency map
saliencyMap = mat2gray(saliencyMap);
% Display the original image and saliency map
figure;
subplot(1, 2, 1);
imshow(img);
subplot(1, 2, 2);
imshow(saliencyMap);
