Paper
13 March 1996 Procedures for rapid pattern recognition of three-dimensional objects using parallel processing on a hexagonal pixel grid
Richard W. Stimets, Haojun Tang
Author Affiliations +
Proceedings Volume 2666, Image and Video Processing IV; (1996) https://doi.org/10.1117/12.234729
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard W. Stimets and Haojun Tang "Procedures for rapid pattern recognition of three-dimensional objects using parallel processing on a hexagonal pixel grid", Proc. SPIE 2666, Image and Video Processing IV, (13 March 1996); https://doi.org/10.1117/12.234729
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Cited by 2 scholarly publications.
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KEYWORDS
Machine vision

Parallel processing

Computing systems

Edge detection

Image processing

Pattern recognition

Computer simulations

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