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Proceedings Paper

Image segmentation using kernel fuzzy c-means clustering on level set method
Author(s): G. Raghotham Reddy; Tara Saikumar; R. Rameshwar Rao
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Paper Abstract

In this paper, kernel fuzzy c-means (KFCM) was used to generate an initial contour curve which overcomes leaking at the boundary during the curve propagation. Firstly, KFCM algorithm computes the fuzzy membership values for each pixel. On the basis of KFCM the edge indicator function was redefined. Using the edge indicator function the image segmentation of a medical image was performed to extract the regions of interest for further processing. The above process of segmentation showed a considerable improvement in the evolution of the level set function.

Paper Details

Date Published: 30 September 2011
PDF: 7 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828522 (30 September 2011); doi: 10.1117/12.913481
Show Author Affiliations
G. Raghotham Reddy, Kakatiya Institute of Technology & Science (India)
Tara Saikumar, Osmania Univ. (India)
R. Rameshwar Rao, Osmania Univ. (India)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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