Wavelet transform fuzzy algorithms for dermoscopic image segmentation.

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

Author Information

Heydy Castillejos: National Polytechnic Institute 04430, Mexico city, DF, Mexico.

PMID: 22567042 DOI: 10.1155/2012/578721

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.

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Algorithms

Cluster Analysis

Computer Simulation

Dermoscopy

Diagnosis, Computer-Assisted

Diagnostic Errors

Fuzzy Logic

Humans

Image Interpretation, Computer-Assisted

Skin Neoplasms

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