3 September 1993 Optical-digital image classifier using a correlation algorithm for invariant feature extraction
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Proceedings Volume 1978, Coherent Measuring and Data Processing Methods and Devices; (1993) https://doi.org/10.1117/12.155061
Event: Coherent Measuring and Data Processing Methods and Devices: Selected Papers, 1993, Bellingham, WA, United States
Abstract
An approach to hybrid optical/digital pattern recognition and scene analysis is described which uses a correlation procedure to compare the initial image (object, scene) with its rotated copy. The correlation function of object description obtained via this procedure is shown to possess scale and rotation invariance and to contain information about the object location in the scene being analyzed. The possibility of locating the objects and their classification using the correlation procedure is demonstrated by computer simulation and experiments performed in a coherent optical correlator with a liquid crystal light valve in the Fourier plane.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. V. Dadeshidze, Anatoly A. Vasiliev, "Optical-digital image classifier using a correlation algorithm for invariant feature extraction", Proc. SPIE 1978, Coherent Measuring and Data Processing Methods and Devices, (3 September 1993); doi: 10.1117/12.155061; https://doi.org/10.1117/12.155061
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