Survey on Image Segmentation using Graph Based Methods
1Nalina.P, Electronics and Communication Engineering, Einstein College Of Engineering, Tirunelveli, India.
2Muthukannan.K, , Electronics and Communication Engineering, Einstein College Of Engineering, Tirunelveli, India.
Manuscript received on January 01, 2013. | Revised Manuscript received on January 02, 2013. | Manuscript published on January 05, 2013. | PP: 122-127 | Volume-2, Issue-6, January 2013. | Retrieval Number: F1121112612/2013©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: The main goal of this paper is to survey the high quality of image segmentation with improved speed and stability. In this paper to segment the image using three different graph based segmentation algorithms. These are Isoperimetric Segmentation Normalisd Cut Segmentation, and Spectral Segmentation. Apply these algorithms in the image and find out segmentation result. Using the segmentation results the performance will be analyzed with speed and stability. To determine stability of image by adding the Additive Noise, Multiplicative Noise, Shot Noise.
Keywords: Isoperimetric, Normalized Cut, Performance Evaluation, Spectral, Segmentation.