matlab基于区域的分割算法代码
时间: 2023-10-14 09:04:52 浏览: 41
以下是一个基于区域的分割算法的 MATLAB 代码示例,使用的是基于区域生长的分割方法:
```matlab
function [bw,maskedImage] = regionBasedSegmentation(rgbImage)
% Convert RGB image to chosen color space
I = rgb2lab(rgbImage);
% Define thresholds for channel 1 based on histogram settings
channel1Min = 18.397;
channel1Max = 73.291;
% Define thresholds for channel 2 based on histogram settings
channel2Min = -30.925;
channel2Max = 21.899;
% Define thresholds for channel 3 based on histogram settings
channel3Min = -9.592;
channel3Max = 17.141;
% Create mask based on chosen histogram thresholds
sliderBW = (I(:,:,1) >= channel1Min ) & (I(:,:,1) <= channel1Max) & ...
(I(:,:,2) >= channel2Min ) & (I(:,:,2) <= channel2Max) & ...
(I(:,:,3) >= channel3Min ) & (I(:,:,3) <= channel3Max);
if ~any(sliderBW(:))
% If no pixels are selected, return empty mask and image
bw = false(size(rgbImage,1),size(rgbImage,2));
maskedImage = rgbImage;
else
% Fill holes
sliderBW = imfill(sliderBW, 'holes');
% Remove small objects
sliderBW = bwareaopen(sliderBW, 50);
% Perform morphological opening to remove small objects again
se = strel('disk',2);
sliderBW = imopen(sliderBW,se);
% Perform morphological closing to join nearby objects
se = strel('disk',4);
sliderBW = imclose(sliderBW,se);
% Create masked image
maskedImage = rgbImage;
maskedImage(repmat(~sliderBW,[1 1 3])) = 0;
% Create binary mask
bw = sliderBW;
end
end
```
该函数的输入参数是 RGB 图像,输出参数是分割得到的二值化图像 `bw` 和被二值化图像 `maskedImage`。该函数首先将 RGB 图像转换为 LAB 颜色空间,然后基于 LAB 图像的直方图使用阈值进行区域生长。最后,使用形态学操作进行空洞填充、去除小对象、开操作和闭操作以优化分割结果。
该代码只是一个示例,具体的阈值和形态学操作的参数需要根据特定的图像和分割任务进行调整。