Various Image Segmentation Methods For Desktop And Mobile Devices

Abstract

Image segmentation serves as a focal point of exploration for numerous researchers in the field  of computer vision. Image segmentation means partitioning an image in segments and assigns a label to every segment. The main idea behind image segmentation is to make image simpler for further processing. This chapter presents various image segmentation algorithms for desktop and mobile devices. With its numerous application in medical field such as tumor detection, color blindness, kidney diseases, it is found, the evaluation parameters are varying with application domain. But, Segmentation processing time is one of the major evaluation parameter in image segmentation. On contrary, image segmentation ingredients i.e., texture, color, pixel intensity, histogram and threshold values etc.  are important in image segmentation. After studying the literature, this study is more helpful for improving the existing segmentation algorithm or developing a new segmentation algorithm.