Comparative Analysis of Segmentation Techniques for Different Body Marks

Abstract

Segmentation is one of the key approaches to image processing. Image processing and pattern recognition is very important. In image segmentation the color and texture of the image plays an important role. Hence the approaches to color segmentation are based on monochrome segmentation strategies that work in different color spaces. In this research paper,  comparative analysis of different color segmentation techniques for marks of human body including mole and tattoo. The five segmentation techniques used are active contour, texture, gaussian, k-mean and thresholding. Results obtained in this paper suggest that active contour segmentation technique yields better results than the rest.