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dc.contributor.advisorNamuduri, Kameswaraen_US
dc.contributor.authorYelisetty, Sree Ramya
dc.descriptionThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineeringen
dc.description.abstractChange detection in images is of great interest because of its relevance in many applications such as video surveillance. This thesis presents the underlying theoretical problem of distributed image change detection using a wireless sensor network. The proposed system consisted of multiple image sensors, which made local decisions independently and sent them to a base station through an additive white Gaussian noise channel. The base station then made a global decision and declared whether a significant change had occurred or not. This system used four thresholds to detect local and global changes in the area being monitored. Two thresholds defined at the sensor level helped the sensor make a local decision, and the remaining two thresholds defined at the system level helped the fusion center make a global decision. Hence, by using four thresholds, the performance of the proposed model was observed to have very good fault tolerance.en
dc.format.extentviii, 40 leaves, ill.en
dc.format.extent833952 bytes
dc.rightsCopyright Sree Ramya Yelisetty, 2007. All rights reserved.en
dc.subject.lcshElectronic dissertationsen
dc.titleImage change detection using wireless sensor networksen

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  • CE Theses and Dissertations
    Doctoral and Master's theses authored by the College of Engineering graduate students
  • EECS Theses and Dissertations
    Collection of Master's theses and Ph.D. dissertations completed at the Dept. of Electrical Engineering and Computer Science
  • Master's Theses
    This collection includes Master's theses completed at the Wichita State University Graduate School (Fall 2005 --)

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