A picture-descriptor extraction program using ship silhouettes

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Author
Bizer, Michael James
Date
1989-06Advisor
Rowe, Neil C.
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Show full item recordAbstract
This research examines the practicality of automatically identifying the features of the
major structures of ship silhouettes using rule-based extraction and identification
techniques. The process was broken into three phases: (a) finding the silhouette
boundary, (b) locating the "bumps" (apparent superstructures) on the boundary, and
(c) describing the bump features qualitatively using a multidimensional-feature-space
classification. The program for the first phase is written in C while the programs in the
other two phases are written in MPROLOG and run on a Motorola 68020-based
workstation. The programs accurately identified 78% of all bumps examined on six ships.
The lists of bump descriptions showed the key differences between two different ships of
the same ship-class, indicating future programs could identify ships using the output from
the programs of this thesis.
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