A Comparative Study of Image Segmentation Met...

A Comparative Study of Image Segmentation Methods

Author Name : Anjali, Rajkumar Yadav, Kamaldeep Joshi

ABSTRACT A single data image can provide a variety of information (about the scenario, about the objects in that image, about color combinations and so on). This leads to the use of different techniques for different extraction outputs from same image or similar output from different images. This extraction of contents become some easy to do task when done with the help of segmentation. Image segmentation itself can further be chosen with various methods. In normal circumstances we could miss some data information while processing it. When clusters of image’s data are formed we use a crisp form of clustering technique so that data could belong to a single cluster. But when we are dealing with some vague input image data such as in case of remote sensing, medical imaging etc., In these cases every detail of data becomes important. In medical field and remote sensing like areas we have to reach to every single detail and this can be done only when instead of using a single cluster at a time, we can use multiple featured space multiple clusters at a time. In this paper we will be mostly viewing from the perspective of remotely sensed data image.