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Pros - Cons between HSV and YCbCr in image segmentation

asked 2014-08-10 11:25:46 -0500

Deedeew gravatar image

What is Pros - Cons between HSV and YCbCr color spaces in image segmentation? Is there some kind of variable that will affect final segmentation result on each color space method?

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answered 2014-08-11 01:47:18 -0500

updated 2014-08-25 01:19:03 -0500

In order to understand the pro's you need to know about these color spaces first. Refer YCbCr & HSV

Now when you choose HSV & when you choose YUV?

  1. If you are dealing with a color separation/segmentation task in which you need to seperate all different variations of one particular color then you can choose HSV. for example you want to separate all the Green component from an Image. You can see the linear distribution of the color Spectrum. I have filtered the Hue range from 35' to 90' to get all the Hue range of Green color. Now i can adjust the Saturation & Value of this Hue range to get all possible combination of this Green Color.

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  1. Now If you want to alter the Brightness/Contrast component of a color image without altering the color component of that image you can choose YUV format. For example if you want to alter only brightness or contrast component of an image. Here I've applied Adaptive Histogram Equalization only on the Y-Channel of this image & you can notice the improvement on the quality of image.

It doesn't matter these color spaces are having pro's or cons. what does matter is how you use them!.

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Asked: 2014-08-10 11:25:46 -0500

Seen: 3,574 times

Last updated: Aug 25 '14