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Proceedings Paper

Multitextured image segmentation with a pyramid
Author(s): Hubert Konik; Serge Chastel; Bernard Laget
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Paper 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.

Paper Details

Date Published: 19 August 1997
PDF: 8 pages
Proc. SPIE 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II, (19 August 1997); doi: 10.1117/12.281267
Show Author Affiliations
Hubert Konik, Univ. Jean Monnet (France)
Serge Chastel, Univ. Jean Monnet (France)
Bernard Laget, Univ. Jean Monnet (France)


Published in SPIE Proceedings Vol. 3101:
New Image Processing Techniques and Applications: Algorithms, Methods, and Components II

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