SLIC代码matlab
时间: 2023-08-23 10:04:35 浏览: 62
下面是一个简单的SLIC算法的Matlab代码示例:
```matlab
function [labels, centers] = SLIC(image, K, compactness)
% 参数设定
S = round(sqrt(numel(image) / K)); % 网格步长
m = compactness; % 紧致性参数
% 初始化
[height, width, ~] = size(image);
numPixels = height * width;
labels = zeros(height, width);
centers = zeros(K, 5); % x, y, L, a, b
% 初始化聚类中心
for i = 1:K
x = round(S/2 + (i-1) / K * (width-S));
for j = 1:K
y = round(S/2 + (j-1) / K * (height-S));
index = (j-1) * K + i;
centers(index, :) = [x, y, image(y, x, 1), image(y, x, 2), image(y, x, 3)];
end
end
% 迭代优化
maxIter = 10;
for iter = 1:maxIter
for i = 1:K
for j = 1:K
x = round(S/2 + (i-1) / K * (width-S));
y = round(S/2 + (j-1) / K * (height-S));
index = (j-1) * K + i;
centerColor = centers(index, 3:5);
% 在一个2S * 2S的窗口内搜索最小的代价函数
for u = max(1, x-S):min(x+S, width)
for v = max(1, y-S):min(y+S, height)
color = double([image(v, u, 1), image(v, u, 2), image(v, u, 3)]);
dist = norm(color - centerColor);
spatialDist = norm([x, y] - [u, v]);
cost = dist + m * spatialDist / S;
if cost < centers(index, 6)
centers(index, :) = [u, v, color, cost];
end
end
end
end
end
end
% 分配标签
for i = 1:K
for j = 1:K
x = round(S/2 + (i-1) / K * (width-S));
y = round(S/2 + (j-1) / K * (height-S));
index = (j-1) * K + i;
labels(max(1, y-S):min(y+S, height), max(1, x-S):min(x+S, width)) = index;
end
end
end
```
这是一个简化的SLIC算法实现,仅供参考。实际使用中可能需要根据具体需求进行调整和优化。