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.
Library of Congress Subject Headings
Computer vision; Image processing--Digital techniques; Electronic noise--Data processing; Infrared detectors
Department, Program, or Center
Electrical Engineering (KGCOE)
Bailly, Mark, "A Coarse imaging sensor for detecting embedded signals in infrared light" (2012). Thesis. Rochester Institute of Technology. Accessed from
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