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Proceedings Paper

Procedures for rapid pattern recognition of three-dimensional objects using parallel processing on a hexagonal pixel grid
Author(s): Richard W. Stimets; Haojun Tang
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Paper Abstract

We present several procedures which are intended to be part of an overall scheme for achieving rapid pattern recognition of three-dimensional objects by using parallel processing on a hexagonal grid. The basic steps of the scheme are edge detection based on gray-level differences within a seven-pixel neighborhood, local edge thinning, local feature detection and feature correction based on comparison of features within a 61-pixel superneighborhood. Experimental tests of these procedures by serial computer algorithms and by hand simulation on real digital images of simple objects such as a cube, a wedge and a cylinder have shown some success at recognizing key features of the object skeletons. The results indicate that implementation and further development of these procedures on a real hexagonal grid of photodetectors with attached parallel-processing units would be very fruitful.

Paper Details

Date Published: 13 March 1996
PDF: 7 pages
Proc. SPIE 2666, Image and Video Processing IV, (13 March 1996); doi: 10.1117/12.234729
Show Author Affiliations
Richard W. Stimets, Univ. of Massachusetts/Lowell (United States)
Haojun Tang, Univ. of Massachusetts/Lowell (United States)


Published in SPIE Proceedings Vol. 2666:
Image and Video Processing IV
Robert L. Stevenson; M. Ibrahim Sezan, Editor(s)

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