COMPARISON OF DIFFERENT SEGMENTATION ALGORITHMS FOR DERMOSCOPIC IMAGES

Autor:	A.A. Haseena Thasneem, R. Mehaboobathunnisa, M. Mohammed Sathik, S .Arumugam
Jazyk:	angličtina
Rok vydání:	2015
Předmět:	Thresholding Expectation Maximization Contour Models Dermoscopy Spectral Clustering Telecommunication TK5101-6720 Computer applications to medicine. Medical informatics R858-859.7
Zdroj:	ICTACT Journal on Image and Video Processing, Vol 5, Iss 4, Pp 1030-1036 (2015)
Druh dokumentu:	article
ISSN:	0976-9099 0976-9102
Popis:	This paper compares different algorithms for the segmentation of skin lesions in dermoscopic images. The basic segmentation algorithms compared are Thresholding techniques (Global and Adaptive), Region based techniques (K-means, Fuzzy C means, Expectation Maximization and Statistical Region Merging), Contour models (Active Contour Model and Chan - Vese Model) and Spectral Clustering. Accuracy, sensitivity, specificity, Border error, Hammoude distance, Hausdorff distance, MSE, PSNR and elapsed time metrices were used to evaluate various segmentation techniques.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/0ed86ba5f94a44c0bc4bcfdf9da2eb73 Zobrazit plný text záznamu View record in DOAJ