迭代白平衡法计算白平衡的matlab程序

迭代白平衡法也是一种常用的白平衡算法，可以使用Matlab来实现。下面是一个简单的程序示例：

% 读入原始图像
img = imread('test.jpg');

% 将图像转换为LAB颜色空间
lab_img = rgb2lab(img);

% 初始化参数
deltaE_threshold = 0.001;
deltaE = 1;
k = 0;
K_MAX = 50;
mean_a = mean2(lab_img(:,:,2));
mean_b = mean2(lab_img(:,:,3));

% 迭代计算
while deltaE > deltaE_threshold && k < K_MAX
    k = k + 1;
    last_mean_a = mean_a;
    last_mean_b = mean_b;
    distances = sqrt((lab_img(:,:,2) - mean_a).^2 + (lab_img(:,:,3) - mean_b).^2);
    threshold_index = distances <= mean2(distances);
    mean_a = mean2(lab_img(threshold_index, 2));
    mean_b = mean2(lab_img(threshold_index, 3));
    deltaE = sqrt((mean_a - last_mean_a)^2 + (mean_b - last_mean_b)^2);
end

% 进行白平衡处理
balanced_img = img;
balanced_img(:,:,1) = img(:,:,1) - (mean2(img(:,:,2)) - mean_a);
balanced_img(:,:,3) = img(:,:,3) - (mean2(img(:,:,2)) - mean_b);

% 显示结果
subplot(1,2,1); imshow(img); title('原始图像');
subplot(1,2,2); imshow(balanced_img); title('白平衡结果');

在上面的代码中，先将原始图像转换为LAB颜色空间，然后进行迭代计算，直到颜色偏差小于设定的阈值或达到最大迭代次数。最后根据计算出的平均a/b值进行白平衡处理，并显示结果。