An Efficient Approach toward Color Image Segmentation with Combined Effort of Soft Clustering and Region Based Techniques using L Channel of LAB Color Space

Finding an efficient approach for color image segmentation is
always sought by the researchers in the color image
processing research. We have different clustering based and
region based methods for the same. But still there arises the
requirement of an optimal method. In this paper, a new
approach for color image segmentation is proposed. Here the
segmentation is carried out on the L channel of LAB color
space. The input color image is first converted from RGB to
LAB. Then L channel is extracted from the LAB converted
image and sent as input to FCM algorithm. After this initial
segmentation, the segmented image is filtered by sobel filter.
The filtered image is then segmented by Meyer’s Watershed
algorithm to produce the final segmented image of the
original image. The results of the proposed approach are
found efficient when the same are analyzed in terms of MSE
and PSNR. Also the segmented images are found free from
over segmentation.