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arXiv · 1506.01472

Comparing the Performance of L*A*B* and HSV Color Spaces with Respect to Color Image Segmentation

Dibya Jyoti Bora·Anil Kumar Gupta·Fayaz Ahmad Khan
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Abstract

Color image segmentation is a very emerging topic for image processing research. Since it has the ability to present the result in a way that is much more close to the human yes perceive, so todays more research is going on this area. Choosing a proper color space is a very important issue for color image segmentation process. Generally LAB and HSV are the two frequently chosen color spaces. In this paper a comparative analysis is performed between these two color spaces with respect to color image segmentation. For measuring their performance, we consider the parameters: mse and psnr . It is found that HSV color space is performing better than LAB.

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Dibya Jyoti Bora, Anil Kumar Gupta, Fayaz Ahmad Khan. 2015-06-04. Comparing the Performance of L*A*B* and HSV Color Spaces with Respect to Color Image Segmentation. https://arxiv.org/abs/1506.01472

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