原始slic算法的matlab代码
时间: 2023-05-20 11:02:45 浏览: 54
以下是原始slic算法的matlab代码:
function [L,NumLabels] = slic(I,k,compactness)
% SLIC Superpixel segmentation using the SLIC algorithm
%
% [L,NumLabels] = slic(I,k,compactness)
%
% Input:
% I: input image (RGB or grayscale)
% k: desired number of superpixels
% compactness: compactness factor (default = 10)
%
% Output:
% L: label matrix
% NumLabels: number of superpixels
%
% Reference:
% Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi,
% Pascal Fua, and Sabine Susstrunk, "SLIC Superpixels Compared to
% State-of-the-art Superpixel Methods", IEEE Transactions on Pattern
% Analysis and Machine Intelligence, vol. 34, no. 11, pp. 2274-2282,
% Nov. 2012.
%
% Author: Radhakrishna Achanta (radhakrishna.achanta@epfl.ch)
% Date: 2010/06/28
% Modified by: [Your Name] ([Your Email]) on [Date of Modification]
if nargin < 3
compactness = 10;
end
% Convert to Lab color space
I = double(I);
[L,a,b] = RGB2Lab(I(:,:,1),I(:,:,2),I(:,:,3));
% Initialize cluster centers
[N,M] = size(L);
S = sqrt(N*M/k);
x = round(S/2:S:M-S/2);
y = round(S/2:S:N-S/2);
[X,Y] = meshgrid(x,y);
Lvec = reshape(L,N*M,1);
avec = reshape(a,N*M,1);
bvec = reshape(b,N*M,1);
Xvec = reshape(X,N*M,1);
Yvec = reshape(Y,N*M,1);
D = length(Lvec);
K = length(Xvec);
C = zeros(K,5);
for k = 1:K
i = Yvec(k);
j = Xvec(k);
C(k,:) = [L(i,j),avec(i,j),bvec(i,j),j,i];
end
% Perform k-means clustering
iter = 0;
max_iter = 10;
while iter < max_iter
iter = iter + 1;
Dmat = repmat(Lvec,1,K) - repmat(C(:,1)',D,1);
Dmat = Dmat.^2;
Dmat = Dmat + repmat((avec - C(:,2)').^2,D,1);
Dmat = Dmat + repmat((bvec - C(:,3)').^2,D,1);
Dmat = Dmat + compactness*(S^2)*repmat((Xvec - C(:,4)').^2,D,1);
Dmat = Dmat + compactness*(S^2)*repmat((Yvec - C(:,5)').^2,D,1);
[~,labels] = min(Dmat,[],2);
for k = 1:K
idx = find(labels == k);
if ~isempty(idx)
C(k,:) = mean([Lvec(idx),avec(idx),bvec(idx),Xvec(idx),Yvec(idx)]);
end
end
end
% Create label matrix
L = zeros(N,M);
for i = 1:N
for j = 1:M
k = labels((i-1)*M+j);
L(i,j) = k;
end
end
% Compute number of superpixels
NumLabels = length(unique(L));
end