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30 September 2011 Image segmentation using kernel fuzzy c-means clustering on level set method
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Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828522 (2011) https://doi.org/10.1117/12.913481
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. Raghotham Reddy, Tara Saikumar, and R. Rameshwar Rao "Image segmentation using kernel fuzzy c-means clustering on level set method", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828522 (30 September 2011); https://doi.org/10.1117/12.913481
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