原始slic算法的matlab代码

以下是原始slic算法的matlab代码：

function [L, num] = slic(I, K, m)
% I: input image
% K: number of superpixels
% m: compactness factor
% L: superpixel label matrix
% num: number of superpixels

% Convert input image to LAB color space
I = double(I);
[L, num] = superpixels(I, K, 'Compactness', m);

% Calculate mean LAB values for each superpixel
lab = rgb2lab(I);
Lrgb = label2rgb(L);
for i = 1:num
idx = L == i;
mean_lab(i, :) = mean(lab(idx, :));
end

% Refine superpixel boundaries using mean LAB values
dist_thresh = sqrt(K);
for i = 1:num
dist = sqrt(sum((mean_lab - repmat(mean_lab(i, :), num, 1)).^2, 2));
[min_dist, min_idx] = min(dist);
if min_dist < dist_thresh
L(L == i) = min_idx;
end
end

% Display superpixels
figure;
imshow(Lrgb);
hold on;
boundaries = bwboundaries(L == 1);
for k = 1:length(boundaries)
boundary = boundaries{k};
plot(boundary(:,2), boundary(:,1), 'w', 'LineWidth', 2);
end

end