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Proceedings Paper

Multiscale medial description of gray-scale image structure
Author(s): Daniel S. Fritsch; James M. Coggins; Stephen M. Pizer
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Paper Abstract

The computation of structural descriptions of objects in images can contribute to many image analysis tasks including measurement, registration, and object formation and identification. Edge-based structural descriptions fail to support the creation of coherent objects. Medial descriptions provide better support for object formation and measurement. We demonstrate an artificial visual system that uses outputs of Gaussian derivative filters to infer a multiscale medial axis (MMA) in 2-D grayscale images. Properties of the MMA are illustrated.

Paper Details

Date Published: 1 February 1992
PDF: 12 pages
Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); doi: 10.1117/12.57068
Show Author Affiliations
Daniel S. Fritsch, Univ. of North Carolina/Chapel Hill (United States)
James M. Coggins, Univ. of North Carolina/Chapel Hill (United States)
Stephen M. Pizer, Univ. of North Carolina/Chapel Hill (United States)


Published in SPIE Proceedings Vol. 1607:
Intelligent Robots and Computer Vision X: Algorithms and Techniques
David P. Casasent, Editor(s)

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