Morphological Shape Representation And Recognition Of Binary Images

Sanjay Sengupta; Hyun S. Yang

doi:10.1117/12.942719

19 February 1988 Morphological Shape Representation And Recognition Of Binary Images

Sanjay Sengupta, Hyun S. Yang

Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942719
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

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.

Citation Download Citation

Sanjay Sengupta and Hyun S. Yang "Morphological Shape Representation And Recognition Of Binary Images", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); https://doi.org/10.1117/12.942719

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