Fast algorithm for structure-adaptive image filtering using order statistics

Roman M. Palenichka; Peter Zinterhof

doi:10.1117/12.235829

25 March 1996 Fast algorithm for structure-adaptive image filtering using order statistics

Roman M. Palenichka, Peter Zinterhof

Proceedings Volume 2662, Nonlinear Image Processing VII; (1996) https://doi.org/10.1117/12.235829
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

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.

Citation Download Citation

Roman M. Palenichka and Peter Zinterhof "Fast algorithm for structure-adaptive image filtering using order statistics", Proc. SPIE 2662, Nonlinear Image Processing VII, (25 March 1996); https://doi.org/10.1117/12.235829

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