Translator Disclaimer
Paper
12 April 2004 A simple nonlinear filter for edge detection in images
Author Affiliations +
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mladen Victor Wickerhauser and Wojciech Czaja "A simple nonlinear filter for edge detection in images", Proc. SPIE 5439, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II, (12 April 2004); https://doi.org/10.1117/12.548915
PROCEEDINGS
8 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Compact algorithm for noise level detection
Proceedings of SPIE (March 22 2019)
Compound-edge-detection method
Proceedings of SPIE (June 07 1996)

Back to Top