Multispectral segmentation and textural feature extraction

Brigitte Hoeltzener-Douarin; Cyril Maurette; Patrick J. Bonnin; Edwige E. Pissaloux

doi:10.1117/12.212008

16 June 1995 Multispectral segmentation and textural feature extraction

Brigitte Hoeltzener-Douarin, Cyril Maurette, Patrick J. Bonnin, Edwige E. Pissaloux

Proceedings Volume 2488, Visual Information Processing IV; (1995) https://doi.org/10.1117/12.212008
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

This paper focuses on the design of segmentation based on textural features extraction. This is an example of a transposition between biological and visual phenomena used in order to characterize natural image understanding. This is also an illustration of a more general appraoch to IP knowledge representation based on a methodology dedicated to the formalization of concrete and abstract models for image processing applications. It proposes an ontology which includes conceptual specifications borrowed from mathematics and physical and biological axiomatics which give concrete and more natural sense to our IP models. This provides a set of elementary definitions which can be used for the expression of concrete models such as image segmentation or pattern detection. In the case of texture we would like to formalize grey level behavior through processings based on multiple window analysis (spectral and morphological criteria: grey level and compacity). In this framework, the evolutionary models studied are issued from biological modeling of migration and mutation. Our illustration is relevant to multispectral segmentation where the homogeneity criterion has been modelized by a grey level evolution function based on exponentiation.

Citation Download Citation

Brigitte Hoeltzener-Douarin, Cyril Maurette, Patrick J. Bonnin, and Edwige E. Pissaloux "Multispectral segmentation and textural feature extraction", Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); https://doi.org/10.1117/12.212008

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