Translator Disclaimer
Paper
11 May 1994 Detecting and tracking microvessels in conjunctiva images: an approach based on modeling and fuzzy logic
Author Affiliations +
Abstract
The conjunctiva is an ideal location to study and measure the morphology of the microcirculation, because access to blood vessels at this site is essentially noninvasive. Our efforts have been directed toward automating the labor-intensive process of collecting morphological information from photographs and video images of the conjunctiva. In previous work we have developed a detailed model of the illumination/reflection processes that result in a film or video image of the bulbar conjunctiva. Using information gained from this model, we have now extended our research toward the development of robust microvessel detection and tracking algorithms. Our modeling has shown that it is possible to extract some relative 3D information about blood vessels from their gray-scale profiles. Images of the conjunctiva, however, also exhibit significant variability in their gray-scale data. We have adapted some fuzzy logic concepts to deal with this problem. These fuzzy logic algorithms have been very effective in detecting blood vessel points in these images, and have also been used to link the segments together into blood vessel tracks.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carl E. Wick, Murray H. Loew, and Joseph Kurantsin-Mills "Detecting and tracking microvessels in conjunctiva images: an approach based on modeling and fuzzy logic", Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); https://doi.org/10.1117/12.175071
PROCEEDINGS
13 PAGES


SHARE
Advertisement
Advertisement
Back to Top