Paper
1 February 1992 Multiscale medial description of gray-scale image structure
Daniel S. Fritsch, James M. Coggins, Stephen M. Pizer
Author Affiliations +
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel S. Fritsch, James M. Coggins, and Stephen M. Pizer "Multiscale medial description of gray-scale image structure", Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); https://doi.org/10.1117/12.57068
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image filtering

Gaussian filters

Computer vision technology

Machine vision

Image segmentation

Robot vision

Robots

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