A Coarse imaging sensor for detecting embedded signals in infrared light

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dc.contributor.advisor Moon, James
dc.contributor.author Bailly, Mark
dc.date.accessioned 2012-10-08T14:34:03Z
dc.date.available 2012-10-08T14:34:03Z
dc.date.issued 2012-06
dc.identifier.uri http://hdl.handle.net/1850/15341
dc.description.abstract Machine vision technology has become prevalent in touch technology, however, it is still limited by background noise. To reduce the background noise present in the images of interest it is important to consider the imaging device and the signal source. The architecture, size, sampling scheme, programming, and technology of the imaging device must be considered as well as the response characteristics of the signal source. Several pixel architectures are explained and implemented with discrete components. Their performance was measured through their ability to track a modulated signal source. Potentially, an imaging sensor comprised of a system designed to modulate the light to be imaged could drastically reduce background noise. Further, with a less noisy image, the processing steps required for touch event detection may be simplified. en_US
dc.language.iso en_US en_US
dc.subject Embedded signal en_US
dc.subject FTIR en_US
dc.subject Imaging en_US
dc.subject Infrared en_US
dc.subject Sensor en_US
dc.subject SWIR en_US
dc.subject.lcc TA1634 .B34 2012
dc.subject.lcsh Computer vision en_US
dc.subject.lcsh Image processing--Digital techniques en_US
dc.subject.lcsh Electronic noise--Data processing en_US
dc.subject.lcsh Infrared detectors en_US
dc.title A Coarse imaging sensor for detecting embedded signals in infrared light en_US
dc.type Thesis en_US
dc.description.college Kate Gleason College of Engineering en_US
dc.description.department Department of Electrical Engineering en_US

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