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Title page for ETD etd-12172007-171400


Type of Document Dissertation
Author Nichols, James Alan
Author's Email Address jim.nichols@vanderbilt.edu
URN etd-12172007-171400
Title Adaptive Image Processing Systems
Degree PhD
Department Electrical Engineering
Advisory Committee
Advisor Name Title
Professor Janos Sztipanovits Committee Chair
Professor D. Mitchell Wilkes Committee Member
Professor Gabor Karsai Committee Member
Professor Richard Alan Peters II Committee Member
Professor Theodore Bapty Committee Member
Keywords
  • adaptive systems
  • Model-integrated computing
  • Image processing
  • adaptive image processing
Date of Defense 2007-12-14
Availability unrestricted
Abstract
This project is concerned with adaptive image processing systems. In this dissertation I present the ground work for a generalized adaptive image processing (AIP) methodology / environment that can evolve to increasingly complex problems. The generalized image sequence processing environment defined in this research was evaluated by mapping example user image sequence problems through the AIP representation to an instantiation / implementation under the ISIS model integrated computing signal processing platform (SPP) environment. The AIP methodology breaks up adaptive image sequence processing problems into localized control loops. Complex adaptive image sequence processing problems can be broken down utilizing hierarchy or other combinations of the AIP elements. The AIP localized processing loop includes the following top level representations: monitoring point, preprocessor, evaluator, planner, reconfigurer, and user goals. The architecture of these basic building blocks allows for their growth/evolution to increasingly sophisticated implementations.
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  AIP_Final_ESD.pdf 2.80 Mb 00:12:57 00:06:39 00:05:49 00:02:54 00:00:14

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