29 April 1999 Dual nonlinear correlation: optoelectronic realization and application to pattern recognition
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Proceedings Volume 3729, Selected Papers from International Conference on Optics and Optoelectronics '98; (1999) https://doi.org/10.1117/12.346773
Event: Selected Papers from the International Conference on Optics and Optoelectronics, 1998, Dehradun, India
Abstract
Dual nonlinear correlation (DNC) is a general operation in optical pattern recognition involving linear and nonlinear filtering methods. Computer controlled DNC processor is based on a two-step optoelectronic joint transform correlator with the power-law nonlinearities introduced in both channels. The DNC optoelectronic processor is sensitive to the value of power-law nonlinearities and can be adapted to the recognition task on various levels of discrimination capability. A CCD camera and a spatial light modulator are the two basic components of the processor that performs the DNC. Their characteristics such as saturation effect and limited number of quantization levels have strong influence on the correlation signal. In this paper we analyze the performance of the DNC processor and present some applications to textured and color pattern recognition with variable discrimination capability.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Katarzyna Chalasinska-Macukow, Rafal Kotynski, Elisabet Perez, and Maria Sagrario Millan Garcia-Verela "Dual nonlinear correlation: optoelectronic realization and application to pattern recognition", Proc. SPIE 3729, Selected Papers from International Conference on Optics and Optoelectronics '98, (29 April 1999); doi: 10.1117/12.346773; https://doi.org/10.1117/12.346773
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