DocumentCode :
2769249
Title :
Fuzzy convergence
Author :
Hoover, Adam ; Goldbaum, Michael
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
fYear :
1998
fDate :
23-25 Jun 1998
Firstpage :
716
Lastpage :
721
Abstract :
This work considers the problem of discovering areas of convergence of line-like shapes in an image. The motivating application is to use the convergence of the blood vessel network to automatically locate the optic nerve in an ocular fundus image. A fuzzy segment model is proposed, based on a conjecture that line-like shapes only contribute to a perception of convergence in their near neighborhood. Using this model, a voting-type method is described to compute a convergence image, which can be searched for one absolute, or one or more relative, strongest points of convergence. Results are presented for twenty ocular fundus images, with a 65% success rate for finding the optic nerve
Keywords :
convergence of numerical methods; fuzzy logic; image segmentation; areas of convergence; blood vessel network; fuzzy convergence; fuzzy segment model; line-like shapes; ocular fundus image; optic nerve; voting-type method; Application software; Biomedical imaging; Biomedical optical imaging; Blood vessels; Convergence; Image converters; Image segmentation; Optical fiber networks; Pixel; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Conference_Location :
Santa Barbara, CA
ISSN :
1063-6919
Print_ISBN :
0-8186-8497-6
Type :
conf
DOI :
10.1109/CVPR.1998.698682
Filename :
698682
Link To Document :
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