Image Segmentation Methods: A Comparative Study
A. M. Khan1, Ravi. S2

1Dr. A. M. Khan, Chairman, Department of Electronics, Mangalore University, Konaje, Karnataka, India.
2Ravi S, Research Student, Department of Electronics, Mangalore University, Konaje, Karnataka, India.
Manuscript received on August 02, 2013. | Revised Manuscript received on August 25, 2013. | Manuscript published on September 05, 2013. | PP: 84-93 | Volume-3, Issue-4, September 2013. | Retrieval Number: D1760093413/2013©BEIESP
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Abstract: Image segmentation is the fundamental step to analyze images and extract data from them. It is the field widely researched and still offers various challenges for the researchers. This paper tries to put light on the basic principles on the methods used to segment an image. This paper concentrates on the idea behind the basic methods used. Image segmentation can be broadly be categorized as semi-interactive approach and fully automatic approach and the algorithms developed lies in either of this approaches. Image segmentation is a crucial step as it directly influences the overall success to understand the image.
Keywords: Segmentation Methods, Image, Pixon, Cluster, Graph-cut, Hybrid Methods.