Advanced image processing and artificial intelligence based approaches to fiber optic statistical mode sensor design

Hasan S. Efendioglu; Tulay Yildirim; Onur Toker

doi:10.1117/12.880054

15 April 2011 Advanced image processing and artificial intelligence based approaches to fiber optic statistical mode sensor design

Hasan S. Efendioglu, Tulay Yildirim, Onur Toker

Author Affiliations +

Proceedings Volume 7982, Smart Sensor Phenomena, Technology, Networks, and Systems 2011; 79820T (2011) https://doi.org/10.1117/12.880054
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2011, San Diego, California, United States

Abstract

In this paper, we consider advanced image processing and artificial intelligence based techniques for design of fiber optic statistical mode sensors. Output from an optical fiber exhibits a speckle pattern when projected on a flat surface, and intensity, size, and location of these speckles do change with external effects like pressure, temperature, vibration, etc. Statistical mode sensors reported in the literature use global image differencing or global correlation like approaches for sensor design. Namely, lots of localized information in the image is not taken into account, instead global difference and/or correlation are used for sensor construction. We propose the use of localized information with image processing techniques; generate more features, and analysis of these via artificial intelligence based methods. In this way, we can capture more information from the speckle pattern distribution, and hence design a better sensor.

Citation Download Citation

Hasan S. Efendioglu, Tulay Yildirim, and Onur Toker "Advanced image processing and artificial intelligence based approaches to fiber optic statistical mode sensor design", Proc. SPIE 7982, Smart Sensor Phenomena, Technology, Networks, and Systems 2011, 79820T (15 April 2011); https://doi.org/10.1117/12.880054

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