Texture classification using level set features

Alan J. Van Nevel

doi:10.1117/12.391933

17 July 2000 Texture classification using level set features

Alan J. Van Nevel

Proceedings Volume 4044, Hybrid Image and Signal Processing VII; (2000) https://doi.org/10.1117/12.391933
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

Alan J. Van Nevel "Texture classification using level set features", Proc. SPIE 4044, Hybrid Image and Signal Processing VII, (17 July 2000); https://doi.org/10.1117/12.391933

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