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Proceedings Paper

Optical morphological processors: gray scale with binary structuring elements, detection, and clutter reduction
Author(s): Roland H. Schaefer; David P. Casasent; Anqi Ye
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Paper Abstract

We consider morphological processing for clutter reduction and object detection. For detection, we compare a binary and gray-scale Hit-Miss Transform and find that the binary operator is preferable. For clutter reduction, we find gray-scale morphology to be preferable. We present a new gray-scale clutter reduction morphological algorithm for low clutter cases and a new algorithm for high clutter cases. In all morphological processing, we find binary structuring elements to be adequate; this is very attractive for our gray-scale morphology decomposition algorithm and its optical implementation.

Paper Details

Date Published: 1 November 1992
PDF: 16 pages
Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); doi: 10.1117/12.131551
Show Author Affiliations
Roland H. Schaefer, Carnegie Mellon Univ. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)
Anqi Ye, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 1825:
Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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