Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/25921
Title: Multiscale image analysis through the surface-shape operator
Authors: Phongsuphap Sukanya
Ryo Takamatsu
Makoto Sato
Mahidol University
Saitama University
Tokyo Institute of Technology
Keywords: Computer Science;Engineering;Physics and Astronomy
Issue Date: 1-Jul-2000
Citation: Journal of Electronic Imaging. Vol.9, No.3 (2000), 305-316
Abstract: This paper proposes a new operator called the surface-shape operator for describing image structure. We consider an image function as a bivariate surface, then established the surface-shape operator for describing the shape of each pixel compared with its neighborhood. From a geometry viewpoint, the types of surface shapes are elliptic, hyperbolic, cylindrical, etc. To give clearer meanings, in general, here we label them based on the topographic structure such as hill, dale, ridge, valley, etc. We also extend the surface-shape operator to have the capability of describing multiscale topographic structures by incorporating in scale-space representation. The surface-shape operator has invariant properties under linear and monotonic gray-tone transformations, and is insensitive to additive noises modeled by linear functions, so it has robustness with brightness variations and shading effects. Finally, we illustrate applicability of the surface-shape operator with applications to image classifications. The proposed method is compared with the spatial gray-level-dependence method and the multiresolution simultaneous autoregressive method. The results show that the proposed method works better, and has much more robustness with brightness variations and shading effects than those methods. © 2000 SPIE and IS&T.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0040189918&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/25921
ISSN: 1560229X
10179909
Appears in Collections:Scopus 1991-2000

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