NDLI: Online pattern recognition in noisy background by means of wavelet coefficients thresholding

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Online pattern recognition in noisy background by means of wavelet coefficients thresholding

Content Provider	Semantic Scholar
Author	Mazzaferri, Javier Ledesma, Silvia
Copyright Year	2005
Abstract	When a scene contaminated with noise has to be recognized by using an optical correlator, the output plane may be strongly affected by noise, yielding mistaken results. Different strategies have been developed to overcome this problem. In this paper we present a method that applies the thresholding of the wavelet coefficients to perform recognition tasks with scenes contaminated with additive noise. The method is implemented by using a Vander Lugt correlator architecture operating with liquid crystal displays. A unique filter is designed to accomplish the recognition and the denoising processes in a simultaneous way. The function to be recognized is decomposed into sub-bands based on the Gabor decomposition, in the frequency plane. The hard thresholding operation is performed and the threshold is generated with accurate support functions in the filter plane. The criterion for the threshold selection is chosen to optimize the signal-to-noise ratio in the output plane. As examples, numerical simulations and experimental results for the correlation plane are shown. We also compare some quality parameters with classical filters.
File Format	PDF HTM / HTML
Language	English
Access Restriction	Open
Subject Keyword	Additive white Gaussian noise AngularJS Arabic numeral 0 Bands Coefficient Cross-correlation Digital filter Gabor filter Gabor wavelet Liquid Crystals Liquid-crystal display List of content management frameworks Noise reduction Noise-induced hearing loss Normal Statistical Distribution Numerical analysis Numerical method Ovarian Failure, Premature Pattern recognition Radial (radio) Reliability engineering Signal-to-noise ratio Simulation Thresholding (image processing) Utility functions on indivisible goods Wavelet Wavelet transform cyclophosphamide/fluorouracil/methotrexate protocol
Content Type	Text
Resource Type	Article

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