Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation | Zendy

Heydy Castillejos | Zendy; Volodymyr Ponomaryov | Zendy; Luis Niño-de-Rivera | Zendy; Víctor Golikov | Zendy

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Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation

Author(s) -

Heydy Castillejos,

Volodymyr Ponomaryov,

Luis Niño-de-Rivera,

Víctor Golikov

Publication year - 2012

Publication title -

computational and mathematical methods in medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.462

H-Index - 48

eISSN - 1748-6718

pISSN - 1748-670X

DOI - 10.1155/2012/578721

Subject(s) - segmentation , artificial intelligence , image segmentation , wavelet transform , scale space segmentation , pattern recognition (psychology) , wavelet , fuzzy logic , computer science , segmentation based object categorization , computer vision , image (mathematics) , algorithm , mathematics

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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