Paper
19 November 2003 Robust nonlinear correlations
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Abstract
Robust adaptive correlations based on rank order operations such as alpha-trimmed sum and median for illumination-invariant pattern recognition are proposed. Several properties of the correlations are investigated. Their performance for detection of noisy objects is compared to the conventional linear correlation in terms of noise robustness and discrimination capability. Computer simulation results for a test image corrupted by mixed additive and impulsive noise are provided and discussed.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vitaly Kober "Robust nonlinear correlations", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); https://doi.org/10.1117/12.503360
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Cited by 3 scholarly publications.
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KEYWORDS
Image filtering

Digital filtering

Nonlinear filtering

Nonlinear dynamics

Computer simulations

Pattern recognition

Digital image processing

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