Image Segmentation and Various Segmentation Techniques – A Review
Binamrata Baral1, Sandeep Gonnade2, Toran Verma3
1Binamrata Baral, M.Tech. Scholar, MATS School of Engineering and IT, MATS University, Raipur, C.G., India.
2Sandeep Gonnade,  C.S.E. Department, MATS School of Engineering and IT, MATS University, Raipur, C.G., India.
3Toran Verma, C.S.E. Department, R.C.E.T, Bhilai, C.G., India.
Manuscript received on March 02, 2014. | Revised Manuscript received on March 03, 2014. | Manuscript published on March 05, 2014. | PP: 134-139 | Volume-4 Issue-1, March 2014. | Retrieval Number: A2112034114/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Image Segmentation has been an area for a long time which is providing opportunities for the intellectual communities to do research work. Image segmentation is a process of partitioning an image into meaningful regions. There exist many digital image segmentation techniques which are currently applied on different fields. These image segmentation techniques need comparative analysis for further development and modifications for continuous and consistent improvement. Hence, in this paper an overview of image segmentation and its present techniques is presented which demands a lot of research work.
Keywords: Image, Image Segmentation, Segmentation Techniques.