TY - JOUR
T1 - Wavelet transform fuzzy algorithms for dermoscopic image segmentation
AU - Castillejos, Heydy
AU - Ponomaryov, Volodymyr
AU - Nino-De-Rivera, Luis
AU - Golikov, Victor
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84861027312&partnerID=8YFLogxK
U2 - 10.1155/2012/578721
DO - 10.1155/2012/578721
M3 - Artículo
SN - 1748-670X
VL - 2012
JO - Computational and Mathematical Methods in Medicine
JF - Computational and Mathematical Methods in Medicine
M1 - 578721
ER -