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Comparing the Performance of L*A*B* and HSV Color Spaces with Respect to Color Image Segmentation
June 04, 2015 Β· Declared Dead Β· π arXiv.org
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Authors
Dibya Jyoti Bora, Anil Kumar Gupta, Fayaz Ahmad Khan
arXiv ID
1506.01472
Category
cs.CV: Computer Vision
Citations
161
Venue
arXiv.org
Last Checked
4 months ago
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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