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