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Proceedings Paper

Configurable hardware for image segmentation
Author(s): Scott Burdette Anderson; Philip P. Dang; Paul M. Chau
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Paper Abstract

Deconstructing an image based upon it parts poses a challenge to image analysis that may be solved using adaptive algorithms. The presence of occlusion or image rotation makes template matching difficult. Image segmentation techniques can be used to discriminate between objects via feature synthesis using deformable templates. This paper describes modifications to existing techniques commonly used to do real-time image segmentation for efficient hardware implementation. Edge detection and edge direction finding techniques may be used within the context of deformable templates for real-time automatic target recognition and tracking.

Paper Details

Date Published: 8 March 1999
PDF: 14 pages
Proc. SPIE 3652, Machine Vision Applications in Industrial Inspection VII, (8 March 1999); doi: 10.1117/12.341139
Show Author Affiliations
Scott Burdette Anderson, Univ. of California/San Diego (United States)
Philip P. Dang, Univ. of California/San Diego (United States)
Paul M. Chau, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 3652:
Machine Vision Applications in Industrial Inspection VII
Kenneth W. Tobin; Ning S. Chang, Editor(s)

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