10 July 2009 Development of Powell and simulated annealing algorithm applied in image registration of agricultural engineering
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Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 748918 (2009) https://doi.org/10.1117/12.836863
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
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.
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Zhuofu Deng, Zhuofu Deng, Beilei Wang, Beilei Wang, Zhiliang Zhu, Zhiliang Zhu, Huiyan Jiang, Huiyan Jiang, Hongjuan Liu, Hongjuan Liu, } "Development of Powell and simulated annealing algorithm applied in image registration of agricultural engineering", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 748918 (10 July 2009); doi: 10.1117/12.836863; https://doi.org/10.1117/12.836863
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