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Texture similarity queries and relevance feedback for image retrieval

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2 Author(s)
Patrice, B. ; Lab. LIGIV, Saint-Etienne, France ; Konik, H.

The measurement of perceptual similarities between textures is a difficult problem in applications such as image classification and image retrieval in large databases. Among the various texture analysis methods or models developed over the years, those based on a multi-scale multi-orientation paradigm seem to give more reliable results with respect to human visual judgement. This work introduces new texture features extracted from an oriented multi-scale pyramid structure called a “steerable pyramid”. These texture features are then used in the search through an image database to find the most “similar” textures to a selected one. We have also introduced a relevance feedback to improve the retrieval quality

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Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:4 )

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