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Optical Engineering

Adaptive pattern recognition system for scene segmentation
Author(s): Toshiro Kubota; Terrance L. Huntsberger
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Paper Abstract

Robust pattern recognition within the Bayesian framework for scene segmentation/boundary detection is often hampered by the presence of textures within natural images. To improve segmentation/ boundary detection on natural images, it is necessary to combine multiple features effectively. Two algorithms for combining both color and texture features to assist boundary detection processes are introduced. One combines features through the surface processes and the other through the line processes. The algorithms can be generalized for combining any number of feature sets.

Paper Details

Date Published: 1 March 1998
PDF: 7 pages
Opt. Eng. 37(3) doi: 10.1117/1.601916
Published in: Optical Engineering Volume 37, Issue 3
Show Author Affiliations
Toshiro Kubota, Georgia Institute of Technology (United States)
Terrance L. Huntsberger, Univ. of South Carolina (United States)


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