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Proceedings Paper

Extraction of desirable details with adaptive rank-order filters
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Paper Abstract

In this paper, we use adaptive rank-order filters for localization and extraction of desirable details from images. To improve the performance of linear correlations, we use novel local adaptive correlations based on nonparametric Spearman's correlation. These filters are based on correlation between the ranks of the input scene computed in a moving window and those of the target. Their performance and noise robustness are compared with those of the conventional linear correlation. Computer simulation results are provided and discussed.

Paper Details

Date Published: 24 August 2006
PDF: 7 pages
Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 63121K (24 August 2006); doi: 10.1117/12.678893
Show Author Affiliations
Saúl Martínez Díaz, CICESE (Mexico)
Vitaly Kober, CICESE (Mexico)

Published in SPIE Proceedings Vol. 6312:
Applications of Digital Image Processing XXIX
Andrew G. Tescher, Editor(s)

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