Master of Science (MS)
Number of Pages
In this thesis we review existing algorithms for measuring shape similarity between polygons. We present a new approach to measure similarity based on the notion of annular profile. We also present the implementation of three shape measuring algorithms: signature function, turning function, and annular profile. The implementation is done by using the Visual C++ programming language. Finally, we discuss the comparative performances of the above three methods for capturing shape similarity. Measurement of shape similarity has applications in pattern recognition and artificial intelligence.
Polygonal; Shapes; Similarity
Computer science; Artificial intelligence
University of Nevada, Las Vegas
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Fang, Guorong, "Similarity between polygonal shapes" (1995). UNLV Retrospective Theses & Dissertations. 584.