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Proceedings Paper

Fast algorithm for structure-adaptive image filtering using order statistics
Author(s): Roman M. Palenichka; Peter Zinterhof
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Paper Abstract

The problem of detection of the region of interest by means of nonlinear filters is addressed as applied to flaws detection in diagnostics imaging. The solution of this problem by conventional methods of linear high-pass filters with subsequent thresholding does not yield a satisfactory result due to a poor quality of images in the applications. To evaluate the basic local features in images, it is proposed to use adaptive trimmed mean filters with fast recursive calculation of order statistics. Theoretical and experimental investigation of the proposed algorithm for adaptive filtering confirms its efficiency for the detection of small isolated objects and crack- like flaws in diagnostic imaging.

Paper Details

Date Published: 25 March 1996
PDF: 8 pages
Proc. SPIE 2662, Nonlinear Image Processing VII, (25 March 1996); doi: 10.1117/12.235829
Show Author Affiliations
Roman M. Palenichka, Institute of Physics and Mechanics (Ukraine)
Peter Zinterhof, Salzburg Univ. (Austria)

Published in SPIE Proceedings Vol. 2662:
Nonlinear Image Processing VII
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham, Editor(s)

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