title: Wavelet transform fuzzy algorithms for dermoscopic image segmentation.
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.
authors.affiliation: National Polytechnic Institute 04430, Mexico city, DF, Mexico.
authors.forename: Heydy
authors.initials: H
authors.lastname: Castillejos
authors.forename: Volodymyr
authors.initials: V
authors.lastname: Ponomaryov
authors.forename: Luis
authors.initials: L
authors.lastname: Nino-de-Rivera
authors.forename: Victor
authors.initials: V
authors.lastname: Golikov
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D003198:Computer Simulation; D046169:Dermoscopy / Q000706:statistics & numerical data*; D003936:Diagnosis, Computer-Assisted / Q000379:methods* / Q000706:statistics & numerical data; D003951:Diagnostic Errors; D017143:Fuzzy Logic; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D012878:Skin Neoplasms / Q000175:diagnosis*