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Proceedings Paper

Grouping and forming quantitative descriptions of image features by a novel parallel algorithm
Author(s): Jezekiel Ben-Arie; James N. Huddleston
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Paper Abstract

Grouping disconnected edgels and forming quantitative descriptions of structural entities are fundamental tasks in image understanding. Our newly developed grouping algorithm, the Distributed Hough Transform (DHT), is capable of performing both of these tasks. The DHT uses the principle of proximity weighted symmetry (PWS). PWS is based upon non- accidentalness, viewpoint invariance, and new probabilistic models of projected angles and distances which use the assumption that boundaries of man-made objects can be represented by circular arcs and straight lines. Experimental results show that the DHT is a robust algorithm.

Paper Details

Date Published: 1 November 1991
PDF: 18 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50347
Show Author Affiliations
Jezekiel Ben-Arie, Illinois Institute of Technology (United States)
James N. Huddleston, Illinois Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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