CGH-ANN-based system in interference pattern recognition

Leszek R. Jaroszewicz; Krzysztof A. Cyran

doi:10.1117/12.390665

6 July 2000 CGH-ANN-based system in interference pattern recognition

Leszek R. Jaroszewicz, Krzysztof A. Cyran

Proceedings Volume 4129, Subsurface Sensing Technologies and Applications II; (2000) https://doi.org/10.1117/12.390665
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Interference figures are often subject of interest in subsurface sensing technologies. Proper further processing of them is essential for interpretation of data covered in such images. This interpretation is often possible after recognition of the interference patterns. The article presents pattern recognition system suitable for dealing with interference figures. The system consists of optimized computer-generated hologram used for feature extraction and artificial neural network used as classifier of features. This pattern recognizer was tested with images of intermodal interference occurring in the optical fiber. If the fiber is embedded in the polymer composite material then such subsurface sensor together with mentioned pattern recognition system can be used for determining stress and distortion of that material. Since polymers are wide utilized for different constructions, including airplane wings, presented hybrid system can be used for real time, nondestructive monitoring of working stresses occurring in these constructions. The recognition of critical compressive stress can be therefore an early alarm signal of possible forthcoming danger.

Citation Download Citation

Leszek R. Jaroszewicz and Krzysztof A. Cyran "CGH-ANN-based system in interference pattern recognition", Proc. SPIE 4129, Subsurface Sensing Technologies and Applications II, (6 July 2000); https://doi.org/10.1117/12.390665

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