Presentation
27 April 2016 Learning from examples in optical tomography (Conference Presentation)
Author Affiliations +
Proceedings Volume 9718, Quantitative Phase Imaging II; 97181Z (2016) https://doi.org/10.1117/12.2212785
Event: SPIE BiOS, 2016, San Francisco, California, United States
Abstract
An optical tomography system measures the light scattered by an object as a function of spatial coordinates and as a function of the illumination angle. The measured signals are digitally processed to produce a 3D image of the object. In this paper we describe how we can learn the shape of an object by constructing a neural network that models the optical system and training the network to match the experimentally measured data. The variables of the trained network yield the image of the unknown object at the end of training phase. [1] Ulugbek, Papadopoulos, Shoreh, Goy, Vonesh, Unser, Psaltis, “A Learning Approach to Optical Tomography” Optica, May 2015.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Demetri Psaltis "Learning from examples in optical tomography (Conference Presentation)", Proc. SPIE 9718, Quantitative Phase Imaging II, 97181Z (27 April 2016); https://doi.org/10.1117/12.2212785
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KEYWORDS
Optical tomography

Signal processing

3D image processing

Data modeling

Digital signal processing

Image processing

Light scattering

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