Digital image correlation search method based on genetic algorithm

CHEN Hua; YE Dong; CHEN Gang; CHE Ren-sheng

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Digital image correlation search method based on genetic algorithm

Article | 更新时间：2020-08-12

- Digital image correlation search method based on genetic algorithm
- Optics and Precision Engineering Vol. 15, Issue 10, Pages: 1633-1637(2007)
- 作者机构：
  
  哈尔滨工业大学电气工程及自动化学院,黑龙江哈尔滨 150001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：12 April 2007，
  
  Revised：29 June 2007，
  
  Published Online：30 October 2007，
  
  Published：30 October 2007
- 稿件说明：
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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

CHEN Hua, YE Dong, CHEN Gang, et al. Digital image correlation search method based on genetic algorithm[J]. Optics and precision engineering, 2007, 15(10): 1633-1637.
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 DOI：

CHEN Hua, YE Dong, CHEN Gang, et al. Digital image correlation search method based on genetic algorithm[J]. Optics and precision engineering, 2007, 15(10): 1633-1637. DOI：

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

的标准差为0.022 pixel

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。

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

is 0.022 pixel

and the stand deviation of

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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