Adaptive pattern recognition system for scene segmentation

Toshiro Kubota; Terrance L. Huntsberger

doi:10.1117/1.601916

1 March 1998 Adaptive pattern recognition system for scene segmentation

Toshiro Kubota, Terrance L. Huntsberger

Optical Engineering, Vol. 37, Issue 3, (March 1998). https://doi.org/10.1117/1.601916

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.

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Toshiro Kubota and Terrance L. Huntsberger "Adaptive pattern recognition system for scene segmentation," Optical Engineering 37(3), (1 March 1998). https://doi.org/10.1117/1.601916

Published: 1 March 1998

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