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.
Library of Congress Subject Headings
Computer vision; Image processing--Digital techniques; Electronic noise--Data processing; Infrared detectors
Publication Date
6-1-2012
Document Type
Thesis
Department, Program, or Center
Electrical Engineering (KGCOE)
Advisor
Moon, James
Recommended Citation
Bailly, Mark, "A Coarse imaging sensor for detecting embedded signals in infrared light" (2012). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/5594
Campus
RIT – Main Campus
Comments
Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: TA1634 .B34 2012