Genetic algorithms for approximation of digital curves with line segments and circular arcs

A method for error-bounded approximation of digital curves with line segments and circular arcs is proposed. In the proposed method, a chromosome is used to represent an approximation by a string, and the operations of genetic algorithms are designed especially to obtain the approximation for which...

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Bibliographic Details
Published in:Journal of the Chinese Institute of Engineers Vol. 32; no. 4; pp. 437 - 444
Main Authors: Huang, Shu-Chien, Wang, Chu-Fu
Format: Journal Article
Language:English
Published: Taylor & Francis Group 01.06.2009
Subjects:
circular arc
error-bounded approximation
evolutionary computation
genetic algorithms
ISSN:0253-3839, 2158-7299
Online Access:Get full text
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Summary:A method for error-bounded approximation of digital curves with line segments and circular arcs is proposed. In the proposed method, a chromosome is used to represent an approximation by a string, and the operations of genetic algorithms are designed especially to obtain the approximation for which an error is bounded by a given norm. Many experiments show that the convergence is guaranteed, and optimal or near-optimal solutions can be obtained. The proposed method successfully reduced the total number of line segments and circular arcs required to approximate the digital curves under the error-bound criterion.
ISSN:0253-3839
2158-7299
DOI:10.1080/02533839.2009.9671526