Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation
Joint Authors
Castillejos, Heydy
Nino-de-Rivera, Luis
Golikov, Victor
Ponomaryov, Volodymyr
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Castillejos, Heydy& Ponomaryov, Volodymyr& Nino-de-Rivera, Luis& Golikov, Victor. 2012. Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-482259
Modern Language Association (MLA)
Castillejos, Heydy…[et al.]. Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-482259
American Medical Association (AMA)
Castillejos, Heydy& Ponomaryov, Volodymyr& Nino-de-Rivera, Luis& Golikov, Victor. Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-482259
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482259
