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Proceedings Paper

Development of Powell and simulated annealing algorithm applied in image registration of agricultural engineering
Author(s): Zhuofu Deng; Beilei Wang; Zhiliang Zhu; Huiyan Jiang; Hongjuan Liu
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Paper Abstract

A new method (RPSAM) to solve global optimization problem is proposed and applied in the process of image registration in agriculture engineering. The random search strategy of simulated annealing is put into the Powell algorithm, and improved by the advancement of the method of selecting starting point. Moreover improving PSAM enable itself possess the characteristic of local quadratic convergence. As the result of experiment turns out, the developed algorithm can prevent optimizing process from trapping into the domain near local minima. Compared with PSAM, RPSAM is improved impressively on the precision of result and efficiency of course in order to improve the speed and quality of image in the course of image registration in agriculture engineering.

Paper Details

Date Published: 10 July 2009
PDF: 8 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 748918 (10 July 2009); doi: 10.1117/12.836863
Show Author Affiliations
Zhuofu Deng, Northeastern Univ. (China)
Beilei Wang, Northeastern Univ. (China)
Zhiliang Zhu, Northeastern Univ. (China)
Huiyan Jiang, Northeastern Univ. (China)
Hongjuan Liu, Northeastern Univ. (China)

Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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