19 August 1997 Multitextured image segmentation with a pyramid
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This paper presents a hierarchical method for segmenting multi-textured images. Using a pyramidal construction, texture features are extracted from each level: one based on the presence of contours and the other on a special co- occurrence matrix. Actually, this matrix makes an inventory of the occurrences son-father between two consecutive levels through the pyramid. This model is furthermore adapted for texture classification, using the intrinsic directions of the overlapping pyramidal structure. With this multiresolution scheme, the human vision is simulated in its attention focusing processes, via an individual and a contextual analysis of each textured region.
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Hubert Konik, Hubert Konik, Serge Chastel, Serge Chastel, Bernard Laget, Bernard Laget, "Multitextured image segmentation with a pyramid", Proc. SPIE 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II, (19 August 1997); doi: 10.1117/12.281267; https://doi.org/10.1117/12.281267


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