Neural network-based system for pattern recognition through a fiber optic bundle

Javier Gamo-Aranda; Paloma Rodriguez-Horche; Miguel Merchan-Palacios; Pablo Rosales-Herrera; M. Rodriguez

doi:10.1117/12.420933

4 April 2001 Neural network-based system for pattern recognition through a fiber optic bundle

Javier Gamo-Aranda, Paloma Rodriguez-Horche, Miguel Merchan-Palacios, Pablo Rosales-Herrera, M. Rodriguez

Proceedings Volume 4305, Applications of Artificial Neural Networks in Image Processing VI; (2001) https://doi.org/10.1117/12.420933
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

A neural network based system to identify images transmitted through a Coherent Fiber-optic Bundle (CFB) is presented. Patterns are generated in a computer, displayed on a Spatial Light Modulator, imaged onto the input face of the CFB, and recovered optically by a CCD sensor array for further processing. Input and output optical subsystems were designed and used to that end. The recognition step of the transmitted patterns is made by a powerful, widely-used, neural network simulator running on the control PC. A complete PC-based interface was developed to control the different tasks involved in the system. An optical analysis of the system capabilities was carried out prior to performing the recognition step. Several neural network topologies were tested, and the corresponding numerical results are also presented and discussed.

Citation Download Citation

Javier Gamo-Aranda, Paloma Rodriguez-Horche, Miguel Merchan-Palacios, Pablo Rosales-Herrera, and M. Rodriguez "Neural network-based system for pattern recognition through a fiber optic bundle", Proc. SPIE 4305, Applications of Artificial Neural Networks in Image Processing VI, (4 April 2001); https://doi.org/10.1117/12.420933

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