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Proceedings Paper

Operator based on surface curvatures for multiscale image analysis
Author(s): Phongsuphap Sukanya; Ryo Takamatsu; Makoto Sato
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Paper Abstract

This paper introduces a new operator called the surface- shape operator for describing image structure. An image function is considered as a bivariate surface, then the surface-shape operators is established for describing shape of each pixel comparing with its neighborhood by utilizing surface curvatures. In the geometry viewpoint, types of surface shape are elliptic, hyperbolic, cylindrical, etc. To give clearer meanings in general, we label them based on the topographic structure such as hill, dale, ridge, valley, etc. By extending from single-scale image analysis, the surface-shape operator is used as a pre-processing for describing multiscale topographic structures in scale-space representation. 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. We illustrate usefulness of the surface-shape operator for image analysis with the image classification application, and compare the proposed method with the popular methods used to-date: the spatial gray level dependence method, Laws' method for the single-scale approach, and the multiresolution simultaneous autoregressive method for the multiscale approach. Results show that the proposed method works much better than the other methods. In particular, the proposed method based on multiscale analysis performs best.

Paper Details

Date Published: 2 October 1998
PDF: 11 pages
Proc. SPIE 3454, Vision Geometry VII, (2 October 1998); doi: 10.1117/12.323250
Show Author Affiliations
Phongsuphap Sukanya, Tokyo Institute of Technology (Thailand)
Ryo Takamatsu, Tokyo Institute of Technology (Japan)
Makoto Sato, Tokyo Institute of Technology (Japan)

Published in SPIE Proceedings Vol. 3454:
Vision Geometry VII
Robert A. Melter; Angela Y. Wu; Longin Jan Latecki, Editor(s)

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