Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation. (11th April 2012)

• Record Type: Journal Article
• Authors: Castillejos, Heydy; Ponomaryov, Volodymyr; Nino-de-Rivera, Luis; Golikov, Victor
• Other Names: Cattani Carlo Academic Editor.
• Is Part Of: Computational and mathematical methods in medicine. Volume 2012(2012)
• Publication Date: 2012-04-11
• Subjects: Medicine -- Computer simulation -- Periodicals; Medicine -- Mathematical models -- Periodicals; 610.11
• DOI: 10.1155/2012/578721
• Languages: English
• ISSNs: 1748-670X

Abstract

Abstract : 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.