1 March 1998 Adaptive pattern recognition system for scene segmentation
Author Affiliations +
Optical Engineering, 37(3), (1998). doi:10.1117/1.601916
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.
Toshiro Kubota, Terrance L. Huntsberger, "Adaptive pattern recognition system for scene segmentation," Optical Engineering 37(3), (1 March 1998). http://dx.doi.org/10.1117/1.601916
JOURNAL ARTICLE
7 PAGES


SHARE
KEYWORDS
Image processing

Image segmentation

Detection and tracking algorithms

Feature extraction

Pattern recognition

Optical engineering

Optical pattern recognition

Back to Top