OTSU的matlab程序
时间: 2023-11-02 17:01:54 浏览: 36
OTSU算法的Matlab程序如下:
```matlab
function threshold = otsuThresholding(image)
% 计算图像的灰度直方图
histogram = imhist(image);
% 灰度级总数
numLevels = numel(histogram);
% 统计图像的像素总数
totalPixels = numel(image);
% 初始化类间方差最大值和最佳阈值
maxVariance = 0;
bestThreshold = 0;
% 遍历所有可能的阈值
for threshold = 1:numLevels
% 计算背景的像素数和前景的像素数
backgroundPixels = sum(histogram(1:threshold));
foregroundPixels = sum(histogram(threshold+1:end));
% 计算背景的权重和前景的权重
backgroundWeight = backgroundPixels / totalPixels;
foregroundWeight = foregroundPixels / totalPixels;
% 计算背景的平均灰度和前景的平均灰度
backgroundMean = sum((0:threshold-1) .* histogram(1:threshold)) / backgroundPixels;
foregroundMean = sum((threshold:numLevels-1) .* histogram(threshold+1:end)) / foregroundPixels;
% 计算类间方差
variance = backgroundWeight * foregroundWeight * (backgroundMean - foregroundMean)^2;
% 如果类间方差大于最大值,则更新最大值和最佳阈值
if variance > maxVariance
maxVariance = variance;
bestThreshold = threshold;
end
end
% 返回最佳阈值
threshold = bestThreshold;
end
```