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Proceedings Paper

A simple nonlinear filter for edge detection in images
Author(s): Mladen Victor Wickerhauser; Wojciech Czaja
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Paper Abstract

We specialize to two simple cases the algorithm for singularity detection in images from eigenvalues of the dual local autocovariance matrix. The eigenvalue difference, or "edginess" at a point, then reduces to a simple nonlinear function. We discuss the derivation of these functions, which provide low-complexity nonlinear edge filters with parameters for customization, and obtain formulas in the two simplest special cases. We also provide an implementation and exhibit its output on six sample images.

Paper Details

Date Published: 12 April 2004
PDF: 8 pages
Proc. SPIE 5439, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II, (12 April 2004); doi: 10.1117/12.548915
Show Author Affiliations
Mladen Victor Wickerhauser, Washington Univ. (United States)
Wojciech Czaja, Univ. Wroclawski (Poland)


Published in SPIE Proceedings Vol. 5439:
Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II
Harold H. Szu; Mladen V. Wickerhauser; Barak A. Pearlmutter; Wim Sweldens, Editor(s)

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