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Proceedings Paper

Texture classification using level set features
Author(s): Alan J. Van Nevel
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Paper Abstract

Texture classification is a deceptively simple problem which allows for a multitude of approaches. Many of these methods often are computationally intensive, since they rely on multiscale filtering to develop a feature vector that can be used as an input to a classifier. In this paper, a new feature vector derived from the level sets of a texture is used to discriminate between textures. The new approach is very simple computationally, and provides excellent results. In addition, use of level sets results in a feature which is rotationally invariant.

Paper Details

Date Published: 17 July 2000
PDF: 8 pages
Proc. SPIE 4044, Hybrid Image and Signal Processing VII, (17 July 2000); doi: 10.1117/12.391933
Show Author Affiliations
Alan J. Van Nevel, Naval Air Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 4044:
Hybrid Image and Signal Processing VII
David P. Casasent; Andrew G. Tescher, Editor(s)

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