Part of the answer references GPT, GPT_Pro better solution
This code is used to filter pixels in RGB images that do not fall within a specific hue range, That is, parameters in the HSV(hue, saturation, brightness) space are used for color filtering. Where hsv is a Boolean array that marks whether a pixel is filtered, i.e. whether the pixels in the filtered image are valid.
First line of code "filter_hsv =-(original hsv(:,:,1))> 8.16 "marks pixels whose Hue value exceeds 8.16 in the HSV space as False, which means that the pixel will be filtered.
the second line of code "filter_hsv - = filter_hsv. *(original_hsv(:, :, 2)) & gt; The Saturation value of an HSV space is marked as False, indicating that the pixel whose value exceeds 8.53 is filtered.
The third line of code "filter_hsv -= filter_hsv.*(original hsv(:,:,2)" marks the pixel whose Value exceeds 9.95 in the HSV space as False, meaning that the pixel will be filtered.
In a word, this code is to filter the color of RGB images through HSV, so as to get a certain color picture.
//代码实例 //RGB图片颜色过滤 // 读取图片 original_rgb = imread('path/to/image'); // RGB转HSV original_hsv = rgb2hsv(original_rgb); // 初始化一个Boolean数组，用来标记某一像素是否被过滤 filter_hsv = true(size(original_rgb)); // HSV参数如下 hue = 8.16; saturation = 8.53; value = 9.95; // 过滤Hue filter_hsv = filter_hsv & (original_hsv(:,:,1) > hue); // 过滤Saturation filter_hsv = filter_hsv & (original_hsv(:,:,2) > saturation); // 过滤Value filter_hsv = filter_hsv & (original_hsv(:,:,3) > value); // 将所有标记为false的像素全部重新映射为黑色 filtered_rgb = original_rgb; filtered_rgb(repmat(~filter_hsv, [1, 1, 3])) = 0; // 显示图片 imshow(filtered_rgb);
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