13 March 1996 Procedures for rapid pattern recognition of three-dimensional objects using parallel processing on a hexagonal pixel grid
Author Affiliations +
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, 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); doi: 10.1117/12.234729; https://doi.org/10.1117/12.234729
PROCEEDINGS
7 PAGES


SHARE
RELATED CONTENT

Towards relative gradient and its applications
Proceedings of SPIE (March 04 2015)
Surface extraction using spatial position from line drawings
Proceedings of SPIE (September 03 1993)
Principal curve detection in complicated graph images
Proceedings of SPIE (September 20 2001)
Efficient detection of ellipses from an image by a guided...
Proceedings of SPIE (February 10 2009)
Parallel Processing For Computer Vision
Proceedings of SPIE (November 22 1982)

Back to Top