| 遗传算法的数字图像相关搜索法 |
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| 引用本文： | 陈华,叶东,陈刚,车仁生.遗传算法的数字图像相关搜索法[J].光学精密工程,2007,15(10):1633-1637. |
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| 作者姓名： | 陈华 叶东 陈刚 车仁生 |
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| 作者单位： | 哈尔滨工业大学,电气工程及自动化学院,黑龙江,哈尔滨,150001 |
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| 摘 要： | 研究了基于遗传算法(GA)的图像相关搜索方法并进行了实验。实验结果表明:基于GA的搜索方法,u的标准差为0.022 pixel,v的标准差为0.032 pixel。这种方法优于以往的全局搜索法,可以避免初值选取的问题,并且收敛速度快、精度高,适于数字图像相关中非线性、多峰值的全局优化。
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| 关 键 词： | 遗传算法 数字图像相关法 变形 优化 |
| 文章编号： | 1004-924X（2007）10-1633-05 |
| 收稿时间： | 2007-04-12 |
| 修稿时间： | 2007-04-12 |
Digital image correlation search method based on genetic algorithm |
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| CHEN Hua,YE Dong,CHEN Gang,CHE Ren-sheng.Digital image correlation search method based on genetic algorithm[J].Optics and Precision Engineering,2007,15(10):1633-1637. |
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| Authors: | CHEN Hua YE Dong CHEN Gang CHE Ren-sheng |
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| Affiliation: | School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China |
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| Abstract: | A new search method based on genetic algorithm is proposed, and the experiment is done. The experiment results indicate that the stand deviation of u is 0. 022 pixel, and the stand deviation of v is 0. 032 pixel. The method can meet the requirements of nonlinear and multi-peak global optimization in the digital image correlation with high precision and rapid speed, and can avoid the initial value selection, which is better than the conventional search methods. |
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| Keywords: | genetic algorithm digital image correlation method deformation optimization |
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