计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 229-232.doi: 10.11896/j.issn.1002-137X.2016.11A.052

• 模式识别与图像处理 • 上一篇    下一篇

一种基于遗传算法的图像配准算法研究

许应强,施庆华,曲永冬,王翠芝,朱攀,叶愈   

  1. 云南省机械研究设计院 昆明650031,云南省机械研究设计院 昆明650031,云南省机械研究设计院 昆明650031,云南省机电一体化重点实验室 昆明650031,云南省机电一体化重点实验室 昆明650031,云南省机械研究设计院 昆明650031
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家科技支撑计划:云南省数控一代机械产品应用示范(2015BAF29B01)资助

Study of Image Registration Algorithm Based on Genetic Algorithm

XU Ying-qiang, SHI Qing-hua, QU Yong-dong, WANG Cui-zhi, ZHU Pan and YE Yu   

  • Online:2018-12-01 Published:2018-12-01

摘要: 针对图像位置配准问题,提出了一种基于遗传算法的图像配准算法。选择合适的相似性参数来表征两图像的配准参数,引用遗传算法实现对相似性参数的优化,通过对比实验得到的种群大小、遗传代数和运算时间,最终用MATLAB编写程序对本算法进行实验。实验结果表明该算法相对传统算法具有较好的收敛性和运算速度,同时也具有较好的精确度和实用性。

关键词: 图像配准,遗传算法,相似性参数,机器人视觉

Abstract: Focusing on the problem of image position registration,an image registration algorithm based on genetic algorithm was proposed.The appropriate parameters to characterize the degree of similarity between the two image registration are selected,genetic parameters are optimized by comparing the number of tests obtained by population size,genetic algebra and computation time,and ultimately this algorithm is tested through MATLAB programming.Results show that the algorithm has better convergence and computing speed,better accuracy and practicality than conventional traversal method.

Key words: Image registration,Genetic algorithm,Similarity parameters,Robot vision

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