Grouping and forming quantitative descriptions of image features by a novel parallel algorithm

Jezekiel Ben-Arie; James N. Huddleston

doi:10.1117/12.50347

1 November 1991 Grouping and forming quantitative descriptions of image features by a novel parallel algorithm

Jezekiel Ben-Arie, James N. Huddleston

Proceedings Volume 1606, Visual Communications and Image Processing '91: Image Processing; (1991) https://doi.org/10.1117/12.50347
Event: Visual Communications, '91, 1991, Boston, MA, United States

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.

Citation Download Citation

Jezekiel Ben-Arie and James N. Huddleston "Grouping and forming quantitative descriptions of image features by a novel parallel algorithm", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50347

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