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

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 eyes perceive, so today’s more research is going on this area. Choosing a proper color space is a very important issue for color image segmentation process. Generally L*A*B* 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 L*A*B*. Keywords— Color Image Segmentation, HSV, K-Means, L*A*B*, MSE & PSNR, Median Filter, Sobel Operator, Watershed Algorithm.