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Proceedings Paper

Application of LUM filters with automatic parameter selection to edge detection
Author(s): M. Miloslavski; Tae-Sun Choi
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Paper Abstract

This paper examines the use of nonlinear order-based filter, LUM filter as a prefilter for gradient edge detectors. The output of this filter is an order statistic from an observation vector. Wide range of characteristics can be achieved with the same filter structure by changing its parameters. Its ability to suppress impulse noise and enhance edges leads to significant improvement in edge map. An algorithm for automatic filter parameters adjustment is proposed based on the impulse noise level identification. Algorithm efficiency to set optimal parameters is demonstrated. Its accuracy in determining noise level is evaluated and drawbacks are discussed.

Paper Details

Date Published: 1 October 1998
PDF: 7 pages
Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); doi: 10.1117/12.323156
Show Author Affiliations
M. Miloslavski, Kwangju Institute of Science and Technology (South Korea)
Tae-Sun Choi, Kwangju Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 3460:
Applications of Digital Image Processing XXI
Andrew G. Tescher, Editor(s)

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