Partial shape matching using genetic algorithms

doi:10.1016/S0167-8655(97)00123-2

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Partial shape matching using genetic algorithms

1997-10-01

Ender Özcan *

Chilukuri K. Mohan

DOI：10.1016/S0167-8655(97)00123-2

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Abstract

En 中文

Shape recognition is a challenging task when images contain overlapping, noisy, occluded, partial shapes. This paper addresses the task of matching input shapes with model shapes described in terms of features such as line segments and angles. The quality of matching is gauged using a measure derived from attributed shape grammars. We apply genetic algorithms to the partial shape-matching task. Preliminary results, using model shapes with 6 to 70 features each, are extremely encouraging. (C) 1997 Elsevier Science B.V.

Keywords:

partial shape matching

genetic algorithms

attributed strings

pattern recognition

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