如何在opencv 2.1中从HSV图像获取单通道值图像？

问题描述：

我是opencv的初学者。我使用opencv v2.1。我已经将RGB图像转换为HSV图像。现在我想单独获得单通道的色相，值和饱和度。我该怎么办？我在这里看到过类似的问题，但没有人回答。请帮助。

I am a beginner in opencv. I am using opencv v2.1. I have converted an RGB image to HSV image. Now I want to obtain single channels Hue, Value and Saturation separately. What should I do? I have seen similar questions here but No-one answered that. Kindly help.

答

您可以访问与RGB图像相同的方式，第一个通道将用于H，第二通道

You can access the same way you were accessing for RGB image where 1st channel will be for H, 2nd channel for S and 3rd channel for V.

如果你使用的是OpenCV 2.1，你必须使用IplImage，然后，对吧？
如果您的HSV图像是
IplImage * src 。

If you are using OpenCV 2.1, you must be using IplImage then, right? like if your HSV image is IplImage *src.

IplImage* h = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1 );
IplImage* s = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1 );
IplImage* v = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1 );
// Split image onto the color planes
cvSplit( src, h, s, v, NULL );

cvSplit 函数将多通道数组分割成多个单通道。如果我错了，纠正我。
我建议使用OpenCV 2.4。它有像cvMat这样的结构，它们非常容易处理，就像2D数组一样。

cvSplit function splits a multichannel array into several single channels. Correct me if I am wrong. I would recommend using OpenCV 2.4. It has structs like cvMat which are very easy to handle just like 2D arrays.

编辑：
如果您使用Mat，那么您可以轻松地分离频道。
假设你的hsv mat是 Mat img_hsv 。
然后：

EDIT: If you are using Mat then you can separate the channels out easily. Let's say your hsv mat is Mat img_hsv. Then :

vector<Mat> hsv_planes;
split( img_hsv, hsv_planes );
hsv_planes[0] // H channel
hsv_planes[1] // S channel
hsv_planes[2] // V channel

看看你能不能用这个。

如何在opencv 2.1中从HSV图像获取单通道值图像？

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