Application of harmony search quantum genetic algorithm in image registration

Xiu Jie Zhang; Shi Yong Li; Yi Shen; Shen Min Song

doi:10.3969/j.issn.1001-506X.2012.10.30

Application of harmony search quantum genetic algorithm in image registration

Xiu Jie Zhang^*
, Shi Yong Li
, Yi Shen
, Shen Min Song

^*Corresponding author for this work

School of Astronautics, Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

A new harmony search quantum genetic algorithm (HSQGA) is proposed for image registration, in which the harmony search (HS) method is merged together with the quantum genetic algorithm (QGA). The proposed algorithm is employed in parameter optimization of aerial image registration, and it can yield a superior optimization performance over the original HS method and basic QGA. The proposed algorithm is further tested on two common test functions, and simulation results illustrate that the proposed algorithm can find good solutions in the limited number of iteration.

Original language	English
Pages (from-to)	2152-2156
Number of pages	5
Journal	Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume	34
Issue number	10
DOIs	https://doi.org/10.3969/j.issn.1001-506X.2012.10.30
State	Published - Oct 2012
Externally published	Yes

Keywords

Harmony search method
Image registration
Parameter optimization
Quantum genetic algorithm

Access to Document

10.3969/j.issn.1001-506X.2012.10.30

Cite this

@article{e93c28e8045e4b679ae2605b4d66712e,

title = "Application of harmony search quantum genetic algorithm in image registration",

abstract = "A new harmony search quantum genetic algorithm (HSQGA) is proposed for image registration, in which the harmony search (HS) method is merged together with the quantum genetic algorithm (QGA). The proposed algorithm is employed in parameter optimization of aerial image registration, and it can yield a superior optimization performance over the original HS method and basic QGA. The proposed algorithm is further tested on two common test functions, and simulation results illustrate that the proposed algorithm can find good solutions in the limited number of iteration.",

keywords = "Harmony search method, Image registration, Parameter optimization, Quantum genetic algorithm",

author = "Zhang, \{Xiu Jie\} and Li, \{Shi Yong\} and Yi Shen and Song, \{Shen Min\}",

year = "2012",

month = oct,

doi = "10.3969/j.issn.1001-506X.2012.10.30",

language = "英语",

volume = "34",

pages = "2152--2156",

journal = "Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics",

issn = "1001-506X",

publisher = "Chinese Institute of Electronics",

number = "10",

}

TY - JOUR

T1 - Application of harmony search quantum genetic algorithm in image registration

AU - Zhang, Xiu Jie

AU - Li, Shi Yong

AU - Shen, Yi

AU - Song, Shen Min

PY - 2012/10

Y1 - 2012/10

N2 - A new harmony search quantum genetic algorithm (HSQGA) is proposed for image registration, in which the harmony search (HS) method is merged together with the quantum genetic algorithm (QGA). The proposed algorithm is employed in parameter optimization of aerial image registration, and it can yield a superior optimization performance over the original HS method and basic QGA. The proposed algorithm is further tested on two common test functions, and simulation results illustrate that the proposed algorithm can find good solutions in the limited number of iteration.

AB - A new harmony search quantum genetic algorithm (HSQGA) is proposed for image registration, in which the harmony search (HS) method is merged together with the quantum genetic algorithm (QGA). The proposed algorithm is employed in parameter optimization of aerial image registration, and it can yield a superior optimization performance over the original HS method and basic QGA. The proposed algorithm is further tested on two common test functions, and simulation results illustrate that the proposed algorithm can find good solutions in the limited number of iteration.

KW - Harmony search method

KW - Image registration

KW - Parameter optimization

KW - Quantum genetic algorithm

UR - https://www.scopus.com/pages/publications/84869768929

U2 - 10.3969/j.issn.1001-506X.2012.10.30

DO - 10.3969/j.issn.1001-506X.2012.10.30

M3 - 文章

AN - SCOPUS:84869768929

SN - 1001-506X

VL - 34

SP - 2152

EP - 2156

JO - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

JF - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

IS - 10

ER -

Application of harmony search quantum genetic algorithm in image registration

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this