Local anisotropy analysis for non-smooth images
Abstract
Identification of local anisotropy and determination of principal axes are addressed through different methods that are designed to be tolerant to the non-smooth character of images on the pixel scale. These different tools are validated on various examples, and their performances are compared. The most powerful, robust and accurate method consists in computing the curvature tensor of the auto-correlation function of regularized images using fast Fourier transforms.
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- Local anisotropy analysis for non-smooth images
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Copyright © Pattern Recognition Society © 2005.
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Elsevier Science Inc.
United States
Publication History
Published: 01 February 2007
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