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
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;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.616389
