2-D Image Matching Based on Global Harmony Search Optimization

Li Ming Guan; Qian Kai Yang; Jian Lin; Yi Fan Wu

doi:10.4028/www.scientific.net/AMM.239-240.1133

Paper Titles

Extract Characteristic Parameters of FID Signal Combining Autocorrelation Function with the Least Absolute Value
p.1108

Effect of SNR Estimation in Defocus Blurred Image Restoration
p.1113

Wavelet Audio Coding by Fixed-Point Short Block Processing for Real-Time Wireless Applications
p.1118

A Novel Harmonic Calculating Method Based on Multiple-Average Algorithm
p.1125

2-D Image Matching Based on Global Harmony Search Optimization
p.1133

Parameter Estimation and Restoration of Motion-Blurred Images
p.1138

Wavelet Packet Transform Method and its Application in Analysing Ocean Signals
p.1142

The Improvement of Katsevich Reconstruction Algorithm Based on Cone-Beam CT
p.1148

Find Point Correspondences on Contour between Template Image and its Target with SVD and Euclidean Distance
p.1152

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 239-2402-D Image Matching Based on Global Harmony Search...

2-D Image Matching Based on Global Harmony Search Optimization

Abstract:

A two-dimensional image matching method based on the improved Hausdorff distance and global harmony search optimization is presented in this paper. First, edges are extracted form the original images by the Canny edge detector. Then, a fitness function based on the improved Hausdorff distance is constructed. Finally the global harmony search optimization is adopted to optimize the fitness function. Experiments show that the proposed method is able to locate the object of interest globally and efficiently.

You might also be interested in these eBooks

Measurement Technology and its Application

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 239-240)

Pages:

1133-1137

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.239-240.1133

Citation:

Cite this paper

Online since:

December 2012

Authors:

Li Ming Guan, Qian Kai Yang, Jian Lin, Yi Fan Wu

Keywords:

Harmony Search, Hausdorff Distance, Image Match

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Geem Z W, Kim J H Loganathan 2001 Simulation 76 60-68

Google Scholar

[2] Geem Z W, Kim J H Loganathan 2002 Simulation 22 125-133

Google Scholar

[3] Nocedal J and Wright S J 1999 Numerical optimization (Berlin: Springer)

Google Scholar

[4] Ayvaz M T 2009 Advances in Water Resources 32 916-924

Google Scholar

[5] Leandro dos Santos Coelho, Diego Luis de Andrade Bernert 2009 Chaos, Solitons and Fractal 41 2526-2532

DOI: 10.1016/j.chaos.2008.09.028

Google Scholar

[6] Zhang B S and Li H C 2008 Proc. Int. Conf. on Computer Science and Software Engineering (Wuhan) vol 1 (Piscataway:NJ United States/Inst. of Elec. and Elec. Eng. Computer Society) pp.357-360

Google Scholar

[7] Huttenlocher D P,Klanderman G A,Rucklidge W J 1993 IEEE Trans on Pattern Anal Mach Intell 15 850-863

DOI: 10.1109/34.232073

Google Scholar