Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation

被引：26
作者：
Castillejos, Heydy [1 ]
Ponomaryov, Volodymyr [1 ]
Nino-de-Rivera, Luis [1 ]
Golikov, Victor [2 ]
机构：
[1] Natl Polytech Inst, Mexico City 04430, DF, Mexico
[2] UNACAR, Ciudad Carmen 24180, Cam, Mexico
来源：
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE | 2012年 / 2012卷
关键词：
LESION BORDER DETECTION; EPILUMINESCENCE MICROSCOPY; OBJECTIVE EVALUATION; SKIN-LESIONS; DIAGNOSIS; MELANOMA;
D O I：
10.1155/2012/578721
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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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页数：11
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