Detecting and tracking microvessels in conjunctiva images: an approach based on modeling and fuzzy logic

Carl E. Wick; Murray H. Loew; Joseph Kurantsin-Mills

doi:10.1117/12.175071

11 May 1994 Detecting and tracking microvessels in conjunctiva images: an approach based on modeling and fuzzy logic

Carl E. Wick, Murray H. Loew, Joseph Kurantsin-Mills

Proceedings Volume 2167, Medical Imaging 1994: Image Processing; (1994) https://doi.org/10.1117/12.175071
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

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.

Citation Download Citation

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

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