Multitextured image segmentation with a pyramid

Hubert Konik; Serge Chastel; Bernard Laget

doi:10.1117/12.281267

19 August 1997 Multitextured image segmentation with a pyramid

Hubert Konik, Serge Chastel, Bernard Laget

Proceedings Volume 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II; (1997) https://doi.org/10.1117/12.281267
Event: Lasers and Optics in Manufacturing III, 1997, Munich, Germany

Abstract

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.

Citation Download Citation

Hubert Konik, Serge Chastel, and 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); https://doi.org/10.1117/12.281267

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