Extraction of desirable details with adaptive rank-order filters

Saúl Martínez Díaz; Vitaly Kober

doi:10.1117/12.678893

24 August 2006 Extraction of desirable details with adaptive rank-order filters

Saúl Martínez Díaz, Vitaly Kober

Proceedings Volume 6312, Applications of Digital Image Processing XXIX; 63121K (2006) https://doi.org/10.1117/12.678893
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

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.

Citation Download Citation

Saúl Martínez Díaz and Vitaly Kober "Extraction of desirable details with adaptive rank-order filters", Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 63121K (24 August 2006); https://doi.org/10.1117/12.678893

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