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Algorithms for finding most dissimilar images with possible applications to chromosome classification

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Abstract

By using chromosome images as a framework, algorithms for finding most dissimilar images are presented and illustrated by examples. In terms of angles, a chromosome image consists of two exterior biangles and two interior biangles. Biangles are defined and classified into 180° biangles, >180° biangles and <180° biangles. The dissimilarity of biangles and its geometric interpretation together with various properties of biangles are also presented. The results may have useful applications in pattern recognition, scene analysis, information storage and retrieval, artificial intelligence and fuzzy set theory.

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Authors and Affiliations

  1. Department of Electrical Sciences, State University of New York at Stony Brook, 11794, Stony Brook, New York, U.S.A.

    E. T. Lee

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  1. E. T. Lee
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Lee, E.T. Algorithms for finding most dissimilar images with possible applications to chromosome classification. Bltn Mathcal Biology 38, 505–516 (1976). https://doi.org/10.1007/BF02459549

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  • DOI: https://doi.org/10.1007/BF02459549

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