将下列代码转换成函数具体实现的代码：I = imread('瑕疵图像.png'); I_gray = rgb2gray(I); sigma = 1; kernel_size = 3; I_blurred = imgaussfilt(I_gray, sigma, 'FilterSize', kernel_size); threshold_low = 0.1; threshold_high = 0.9; I_edges = edge(I_blurred,'Canny',[threshold_low,threshold_high]); connectivity = 8; CC = bwconncomp(I_edges, connectivity); numPixels = cellfun(@numel, CC.PixelIdxList); [~, idx] = max(numPixels); I_target = false(size(I_edges)); I_target(CC.PixelIdxList{idx}) = true; figure; subplot(1,2,1); imshow(I); title('原始图像'); subplot(1,2,2); imshow(I_target); title('提取结果');

可以将代码转换成以下函数：

function I_target = extract_defect(I)
    I_gray = rgb2gray(I);
    sigma = 1;
    kernel_size = 3;
    I_blurred = imgaussfilt(I_gray, sigma, 'FilterSize', kernel_size);
    threshold_low = 0.1;
    threshold_high = 0.9;
    I_edges = edge(I_blurred,'Canny',[threshold_low,threshold_high]);
    connectivity = 8;
    CC = bwconncomp(I_edges, connectivity);
    numPixels = cellfun(@numel, CC.PixelIdxList);
    [~, idx] = max(numPixels);
    I_target = false(size(I_edges));
    I_target(CC.PixelIdxList{idx}) = true;
    figure;
    subplot(1,2,1);
    imshow(I);
    title('原始图像');
    subplot(1,2,2);
    imshow(I_target);
    title('提取结果');
end

这个函数的功能是提取输入的图像中的瑕疵部分，返回的是一个二值图像，其中瑕疵部分为白色，其他部分为黑色。函数中的代码与原来的代码类似，只是将最后的结果返回了。你可以调用这个函数，将需要提取的图像作为输入参数传递。