如何在Matlab 2016b中为hsv彩色图像设置色相和饱和度的值

Question

。如何在Matlab 2016b中设置hsv彩色图像的色相和饱和度值

Answer 1

这里的主要问题是您的范围是在uint8范围（范围[0，255]）中定义的，而rgb2hsv的结果是范围[0，1]的两倍。

您可以将255乘以将范围[0，1]转换为[0，255]。

使用min和max函数限制范围很简单。

这是一个有效的范例：

RGB_Color = imread('peppers.png');  %Read sample image.

hsvImage = rgb2hsv(RGB_Color);

%Convert HSV from range [0, 1] to range [0, 255]
hsvImage = hsvImage*255;

H = hsvImage(:,:,1); 
S = hsvImage(:,:,2); 
V = hsvImage(:,:,3);

%1. Hue value must be in the range between 10 to 40
H = max(min(H, 40), 10);

%2. saturation value(100–255)
S = max(min(S, 255), 100);


%Convert back to RGB
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
hsvImage = cat(3, H, S, V);

%Convert HSV from range [0, 255] to range [0, 1].
hsvImage = hsvImage / 255;

rgbImage = hsv2rgb(hsvImage);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%Display result
figure;imshow(RGB_Color);title('Original RGB image');
figure;imshow(rgbImage);title('RGB after HSV thresholding');

原始RGB图像：

HSV阈值处理后的

RGB：