An Improved Particle Swarm Optimization Algorithm for Image Matching

被引：3

作者：

An Ru ^{[1
]}

Chen Chunye ^{[1
]}

Wang Huilin ^{[2
]}

机构：

[1] Hohai Univ, Coll Hydrol & Water Resources, Dept Geog Informat Sci, Nanjing 210098, Peoples R China

[2] Nanjing Univ, Inst Geog & Sea Sci, Nanjing 210093, Jiangsu, Peoples R China

来源：

2009 INTERNATIONAL FORUM ON COMPUTER SCIENCE-TECHNOLOGY AND APPLICATIONS, VOL 1, PROCEEDINGS | 2009年

关键词：

particle swarm optimization; image matching; image registration; mutual information; variable swarm population size; REGISTRATION;

D O I：

10.1109/IFCSTA.2009.8

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Image matching is widely applied in the areas of pattern recognition, computer vision, medicine, remote sensing, aircraft navigation and movement tracking. In this paper, an improved particle swarm optimization algorithm based on variable swarm population size and mutual information as similarity measure function is proposed for image matching. The aim is to enhance the overall performance of image matching. The proposed scheme adjusts the population size in terms of the diversity of the population. The algorithm presented is compared with the exhaustive search based on mutual information, and Standard PSO. Remote sensing images captured by different sensors with different resolutions are as testing data. It is proved that the algorithm the paper suggested is effective for image matching.

引用

页码：7 / +

页数：2

共 11 条

[1]

[Anonymous], IEEE T EVOLUTIONARY

[2]

CHEN DB, 2008, APPL SOFT C IN PRESS

[3] Performance of mutual information similarity measure for registration of multitemporal remote sensing images [J].

Chen, HM ;

Varshney, PK ;

Arora, MK .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (11) :2445-2454

[4]

Eberhart R., MHS 95 P 6 INT S MIC, DOI [DOI 10.1109/MHS.1995.494215, 10.1109/mhs.1995.494215, 10.1109/MHS.1995.494215]

[5] A novel ecological particle swarm optimization algorithm and its population dynamics analysis [J].

Kang, Qi ;

Wang, Lei ;

Wu, Qi-di .

APPLIED MATHEMATICS AND COMPUTATION, 2008, 205 (01) :61-72

[6] Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients [J].

Ratnaweera, A ;

Halgamuge, SK ;

Watson, HC .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2004, 8 (03) :240-255

[7]

Shi Y, 1998, LECT NOTES COMPUTER, V7, P591, DOI [DOI 10.1007/BFB0040810, 10.1007/BFb0040810]

[8] A modified particle swarm optimizer [J].

Shi, YH ;

Eberhart, R .

1998 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION - PROCEEDINGS, 1998, :69-73

[9]

Shi YH, 2001, IEEE C EVOL COMPUTAT, P101, DOI 10.1109/CEC.2001.934377

[10] An approach to multimodal biomedical image registration utilizing particle swarm optimization [J].

Wachowiak, MP ;

Smolíková, R ;

Zheng, YF ;

Zurada, JM ;

Elmaghraby, AS .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2004, 8 (03) :289-301

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