| 摘要 |
An image or other information signal having a texture is analyzed along perceptual dimensions such as directionality, symmetry, regularity and type of regularity. A wavelet decomposition or other type of filtering operation is first applied to the information signal, in order to generate oriented subbands. Texture-related features, e.g., coarse features, vertical edges, horizontal edges, corners, etc., are then extracted from the subbands. The extracted features are then used to characterize the above-noted perceptual dimensions of the texture. A classification process may subsequently be used to classify the texture as directional, symmetric, regular and/or having a particular regularity type, e.g., a small, medium or large regularity, based on comparison with established thresholds. Advantageously, the classification process can also be used to determine the replicability of the texture.
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