Survey on Image Segmentation Techniques and Color Models

segmentation is a low level operation concerned with partitioning of images by determining similarity or discontinuity , or equivalently , by finding edges or boundaries’. image segmentation is the process of partitioning an image into multiple partitions, so as to change the epitomization of an image into something that is more meaningful and easier to analyze . Several general-purpose algorithms and techniques have been developed for image segmentation. This paper trace the different segmentation techniques used for multichannel images. Firstly this paper investigates and compiles some of the technologies used for image segmentation, which are well suited for gray scale images as well as multichannel images. Afterwards a bibliographical survey of currently utilizing color models for segmentation of multichannel images techniques is given in this paper then a comparative analysis of different methods is done and finally general tendencies in image segmentation are presented.