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Stochastic Fractal Search Algorithm for Template Matching with Lateral Inhibition
Joint Authors
Zhou, Yongquan
Zhang, Sen
Luo, Qifang
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-23
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Template matching is a basic and crucial process for image processing.
In this paper, a hybrid method of stochastic fractal search (SFS) and lateral inhibition (LI) is proposed to solve complicated template matching problems.
The proposed template matching technique is called LI-SFS.
SFS is a new metaheuristic algorithm inspired by random fractals.
Furthermore, lateral inhibition mechanism has been verified to have good effects on image edge extraction and image enhancement.
In this work, lateral inhibition is employed for image preprocessing.
LI-SFS takes both the advantages of SFS and lateral inhibition which leads to better performance.
Our simulation results show that LI-SFS is more effective and robust for this template matching mission than other algorithms based on LI.
American Psychological Association (APA)
Luo, Qifang& Zhang, Sen& Zhou, Yongquan. 2017. Stochastic Fractal Search Algorithm for Template Matching with Lateral Inhibition. Scientific Programming،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1203306
Modern Language Association (MLA)
Luo, Qifang…[et al.]. Stochastic Fractal Search Algorithm for Template Matching with Lateral Inhibition. Scientific Programming No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1203306
American Medical Association (AMA)
Luo, Qifang& Zhang, Sen& Zhou, Yongquan. Stochastic Fractal Search Algorithm for Template Matching with Lateral Inhibition. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1203306
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203306