A Study Analysis on Various Image Segmentation Techniques and Concerns with Distinct Images

Image processing involves changing the nature of an image, in order to either improve its pictorial information for human interpretation or render it to a more suitable form for autonomous machine perception. Image segmentation refers to the operation of partitioning an image into component parts or into separate objects. Physical segmentation of an image is not only a tiresome and time consuming process, but also not exceptionally accurate particularly with the increasing imaging modalities and uncontrollable quantity of images that need to be observed. Therefore it becomes essential to examine current methodologies of image segmentation using computerized algorithms that are precise and entail as little user interaction as probable in particular for images. A number of algorithms have been proposed due to the importance of image segmentation. This paper presents a brief outline on some of the most common segmentation techniques like Region based, Edge based, Thresholding based and color based mentioning its advantages as well as the drawbacks.