Wavelet Transform Fuzzy Algorithms for Dermoscopic Image SegmentationReport as inadecuate

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Computational and Mathematical Methods in MedicineVolume 2012 2012, Article ID 578721, 11 pages

Research Article

National Polytechnic Institute 04430, Mexico city, DF, Mexico

UNACAR, 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.

Author: Heydy Castillejos, Volodymyr Ponomaryov, Luis Nino-de-Rivera, and Victor Golikov

Source: https://www.hindawi.com/


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