Texture Similarity Measure Using Kullback-Leibler Divergence between Gamma Distributions

John Reidar Mathiassen; Amund Skavhaug; Ketil Bø

doi:10.1007/3-540-47977-5_9

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Texture Similarity Measure Using Kullback-Leibler Divergence between Gamma Distributions

John Reidar Mathiassen Amund Skavhaug Ketil Bø

Year: 2002 Lecture notes in computer science Pages: 133-147 Publisher: Springer Science+Business Media

DOI: 10.1007/3-540-47977-5_9

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Keywords:

Similarity measure Computer science Measure (data warehouse) Pattern recognition (psychology) Artificial intelligence Divergence (linguistics) Kullback–Leibler divergence Parametric statistics Histogram Disjoint sets Similarity (geometry) Jaccard index Mathematics Image (mathematics) Data mining Statistics

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Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Texture Similarity Measure Using Kullback-Leibler Divergence between Gamma Distributions

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