A picture-descriptor extraction program using ship silhouettes
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Authors
Bizer, Michael James
Subjects
Artificial Intelligence
Feature Extraction
Boundary Tracing
Ship Recognition
Prolog
Silhouette Identification
Feature Extraction
Boundary Tracing
Ship Recognition
Prolog
Silhouette Identification
Advisors
Rowe, Neil C.
Date of Issue
1989-06
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
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.
Type
Thesis
Description
Series/Report No
Department
Computer Science
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
60 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.