Adaptive Pattern Recognition System for Scene Segmentation

Robust pattern recognition within the Bayesian framework for scene segmentation/boundary detection is oftentimes hampered by the presence of textures within natural images. In order to improve segmentation/boundary detection on natural images, it is necessary to combine multiple features eeectively. This paper introduces two algorithms for combining both color and texture features to assist boundary detection processes. One is to combine features through the surface processes and the other through the line processes. The algorithms can be generalized for combining any number of feature sets.