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Automatic Circle Detection on Images Based on an Evolutionary Algorithm That Reduces the Number of Function Evaluations
Joint Authors
Zaldivar, Daniel
Cuevas, Erik
Santuario, Eduardo L.
Pérez-Cisneros, Marco
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-31
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
This paper presents an algorithm for the automatic detection of circular shapes from complicated and noisy images with no consideration of the conventional Hough transform principles.
The proposed algorithm is based on a newly developed evolutionary algorithm called the Adaptive Population with Reduced Evaluations (APRE).
Our proposed algorithm reduces the number of function evaluations through the use of two mechanisms: (1) adapting dynamically the size of the population and (2) incorporating a fitness calculation strategy, which decides whether the calculation or estimation of the new generated individuals is feasible.
As a result, the approach can substantially reduce the number of function evaluations, yet preserving the good search capabilities of an evolutionary approach.
Experimental results over several synthetic and natural images, with a varying range of complexity, validate the efficiency of the proposed technique with regard to accuracy, speed, and robustness.
American Psychological Association (APA)
Cuevas, Erik& Santuario, Eduardo L.& Zaldivar, Daniel& Pérez-Cisneros, Marco. 2013. Automatic Circle Detection on Images Based on an Evolutionary Algorithm That Reduces the Number of Function Evaluations. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-17.
https://search.emarefa.net/detail/BIM-1032426
Modern Language Association (MLA)
Cuevas, Erik…[et al.]. Automatic Circle Detection on Images Based on an Evolutionary Algorithm That Reduces the Number of Function Evaluations. Mathematical Problems in Engineering No. 2013 (2013), pp.1-17.
https://search.emarefa.net/detail/BIM-1032426
American Medical Association (AMA)
Cuevas, Erik& Santuario, Eduardo L.& Zaldivar, Daniel& Pérez-Cisneros, Marco. Automatic Circle Detection on Images Based on an Evolutionary Algorithm That Reduces the Number of Function Evaluations. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-17.
https://search.emarefa.net/detail/BIM-1032426
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032426