DocumentCode
315323
Title
An unsupervised fuzzy vessel tracking algorithm for retinal images
Author
Tolias, Yannis A. ; Panas, Stavros M.
Author_Institution
Dept. of EE&CE, Aristotle Univ. of Athens, Thessaloniki, Greece
Volume
1
fYear
1997
fDate
1-5 Jul 1997
Firstpage
325
Abstract
In this paper we present a new unsupervised fuzzy algorithm for vessel tracking, which is applied to the detection of the ocular fundus vessels. The proposed method overcomes the problems of initialization and vessel profile modeling that are encountered in the literature and automatically tracks vessels using linguistic descriptions
Keywords
eye; fuzzy set theory; image recognition; medical image processing; optical tracking; fuzzy clustering; initialization; linguistic descriptions; ocular fundus vessels; retinal images; unsupervised fuzzy algorithm; vessel profile modeling; vessel tracking; Angiography; Biomedical imaging; Detectors; Filling; Filtering algorithms; Image analysis; Image edge detection; Matched filters; Retina; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location
Barcelona
Print_ISBN
0-7803-3796-4
Type
conf
DOI
10.1109/FUZZY.1997.616389
Filename
616389
Link To Document