Multiresolution feature extraction based on multifrequency decomposition

Edges and regions are important features for various computer vision and pattern recognition applications. We propose simple schemes for generating edge and region features based on multifrequency decomposition. These methods involve two steps. First, a multiresolution image structure is obtained by multifrequency decomposition. Second, multiresolution features are generated from this multiresolution image structure by some simple operations. Since these features have a hierarchical structure, we can use the coarse-to-fine strategy to improve the reliability and computational efficiency for matching and for other applications