Paper
13 September 2008 Pattern recognition of an implicitly given target
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Abstract
Classic correlation filters for detection and location estimation of a reference require explicit information about the object to be recognized. In this work we assume that a reference signal is not available. However, we suppose that the target is placed at unknown coordinates in a noisy reference image. Optimal correlation filters with respect to signal-to-noise ratio and peak-to-output energy for detection and localization of a target embedded into an input scene are derived. Computer simulation results obtained with proposed filters are presented and compared with those of common correlation filters.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pablo Mario Aguilar-González and Vitaly Kober "Pattern recognition of an implicitly given target", Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 707303 (13 September 2008); https://doi.org/10.1117/12.793912
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Cited by 1 scholarly publication.
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KEYWORDS
Micro optical fluidics

Image filtering

Pattern recognition

Target recognition

Signal to noise ratio

Computer simulations

Digital image processing

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