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Proceedings Paper

Morphological Shape Representation And Recognition Of Binary Images
Author(s): Sanjay Sengupta; Hyun S. Yang
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Paper Abstract

In this paper we discuss the differences and similarities of morphological skeleton and skeletons generated by other methods; shape representation by morphological skeleton function; and the concept of minimal skeleton. We then propose a fast shape recognition scheme based on morphological set operations and skeleton function. This scheme measures the goodness-of-fit of prototype skeletons to the observed objects via morphological erosion, exploiting prototype skeletons as structuring elements. Since morphological set operations can be implemented inparallel, the recognition process can be executed at a high speed. Further, the radius information in the morphological skeleton allows a coarse-to-fine version of recognition strategy that discovers poor matches relatively early in the process.

Paper Details

Date Published: 19 February 1988
PDF: 6 pages
Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942719
Show Author Affiliations
Sanjay Sengupta, University of Iowa (United States)
Hyun S. Yang, University of Iowa (United States)


Published in SPIE Proceedings Vol. 0848:
Intelligent Robots and Computer Vision VI
David P. Casasent; Ernest L. Hall, Editor(s)

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