Using modeling and fuzzy logic to detect and track microvessels inconjunctiva images
Wick, C.E.
Loew, M.H.
Kurantsin-Mills, J.
Dept. of Weapons & Syst. Eng., US Naval Acad., Annapolis, MD;
This paper appears in: Applications of Computer Vision, 1994., Proceedings of the Second IEEE Workshop on
Publication Date: 5-7 Dec 1994
On page(s): 114-120
Meeting Date: 12/05/1994 - 12/07/1994
Location: Sarasota, FL, USA
ISBN: 0-8186-6410-X
References Cited: 11
INSPEC Accession Number: 4852569
Digital Object Identifier: 10.1109/ACV.1994.341297
Current Version Published: 2002-08-06
Abstract
The conjunctiva is a thin membrane that covers the surface of the
eye and reveals the small blood vessels of the microcirculation for
detailed non-invasive study. The morphology of these vessels is of
interest because structural changes in the vascular bed have been shown
to occur coincident with certain diseases. Detecting these changes could
be used as an early indication, leading to more timely treatment. Our
efforts have been to find a reliable method to automate the currently
manual methods of analyzing images of the conjunctiva. Our approach has
been to first model the illumination/reflection processes that
contribute to a scene. We have then used the products of this model to
develop some algorithms based on fuzzy logic to reliably detect blood
vessel pixels in actual conjunctiva images. Work is progressing in the
use of fuzzy logic concepts to track vessels from these detected points
so as to provide complete vessel paths and other morphological
information
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