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Computational and Mathematical Methods in Medicine
Volume 2012, Article ID 578721, 11 pages
Research Article

Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation

1National Polytechnic Institute 04430, Mexico city, DF, Mexico
2UNACAR, 24180 Ciudad del Carmen, CaM, Mexico

Received 1 September 2011; Revised 17 January 2012; Accepted 20 January 2012

Academic Editor: Carlo Cattani

Copyright © 2012 Heydy Castillejos et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper presents a novel approach to segmentation of dermoscopic images based on wavelet transform where the approximation coefficients have been shown to be efficient in segmentation. The three novel frameworks proposed in this paper, W-FCM, W-CPSFCM, and WK-Means, have been employed in segmentation using ROC curve analysis to demonstrate sufficiently good results. The novel W-CPSFCM algorithm permits the detection of a number of clusters in automatic mode without the intervention of a specialist.