Automated Disease Identification using computational 3D Optical Sensing and Imaging Systems

2016 ◽  
Author(s):  
Arun Anand ◽  
Inkyu Moon ◽  
Eriko Watanabe ◽  
Adrian Stern ◽  
Bahram Javidi
Keyword(s):  
Optical Sensing ◽  
Imaging Systems ◽  
Disease Identification

Digital imaging and quantitative image analysis of polymer blends

1996 ◽  
Vol 54 ◽  
pp. 170-171
Author(s):  
Xiao Zhang
Keyword(s):  
Digital Imaging ◽  
Imaging Techniques ◽  
Imaging Systems ◽  
Polymer Science ◽  
Key Factors ◽  
Multiple Imaging ◽  
Quantitative Image ◽  
Digital Imaging Systems ◽  
Multi Phase ◽  
Network Technologies

Polymer microscopy involves multiple imaging techniques. Speed, simplicity, and productivity are key factors in running an industrial polymer microscopy lab. In polymer science, the morphology of a multi-phase blend is often the link between process and properties. The extent to which the researcher can quantify the morphology determines the strength of the link. To aid the polymer microscopist in these tasks, digital imaging systems are becoming more prevalent. Advances in computers, digital imaging hardware and software, and network technologies have made it possible to implement digital imaging systems in industrial microscopy labs.

Estimating loading on rebar bolts using distributed optical sensing technology

CIM Journal ◽  
2019 ◽  
Vol 10 (1) ◽  
Author(s):  
D. Beneteau ◽  
D. Milne ◽  
L. Feldman ◽  
G. Snell ◽  
A. Hyett
Keyword(s):  
Optical Sensing ◽  
Sensing Technology

Golay Coded Sequences in Synthetic Aperture Imaging Systems

2011 ◽  
Vol 36 (4) ◽  
Author(s):  
Ihor Trots ◽  
Yuriy Tasinkevych ◽  
Andrzej Nowicki ◽  
Marcin Lewandowski
Keyword(s):  
Imaging Systems ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging
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