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应用科学学报 ›› 2010, Vol. 28 ›› Issue (5): 476-484.doi: 10.3969/j.issn.0255-8297.2010.05.006

• 信号与信息处理 • 上一篇    下一篇

基于正交矩混合不变量的离焦模糊图像配准

戴修斌， 张辉， 舒华忠， 罗立民   

  1. 东南大学计算机科学与工程学院，南京210096
  • 收稿日期:2010-05-05 修回日期:2010-07-09 出版日期:2010-09-26 发布日期:2010-09-26
  • 作者简介:戴修斌，博士后，研究方向：图像处理和模式识别等，E-mail: hustdxb@hotmail.com；舒华忠，教授，博导，研究方向：放射治 疗计划优化、医学图像处理和模式识别等，E-mail: shu.list@seu.edu.cn；罗立民，博士，教授，博导，研究方向：三维医学图像 重建、计算机辅助诊断和治疗以及科学可视化等，E-mail: luo.list@seu.edu.cn
  • 基金资助:

    国家“973”重点基础研究发展计划基金(No.2010CB732503)；中国博士后科学基金(No.20100471360)资助

Registration of Out-of-Focus and Blurred Images Based on Orthogonal Moment Combined Invariant

DAI Xiu-bin, ZHANG Hui, SHU Hua-zhong, LUO Li-min   

  1. School of Computer Science and Engineering, Southeast University, Nanjing 210096, China
  • Received:2010-05-05 Revised:2010-07-09 Online:2010-09-26 Published:2010-09-26

PDF

2663

被引次数

3

摘要：

摘要： 针对同时遭受离焦模糊退化和几何形变的图像，提出一种基于Legendre正交矩不变量的图像配准方法.采用Harris特征点探测算法提取图像特征点，然后构造Legendre正交矩的模糊和几何混合不变量作为衡量尺度以获得特征点的对应关系，通过该对应关系估计形变参数完成配准过程. 实验结果表明该方法能有效解决该类形变图像的配准问题，与其他方法相比能获得更准确的结果.

关键词: 图像配准, 矩混合不变量, Legendre正交矩

Abstract:

Abstract: We propose a new Legendre moment invariant based method to deal with registration of images which are simultaneously degraded by out-of-focus blurring and geometric deformation. We use the Harris corner detector to extract feature points, and construct a new set of combined blur and geometric invariantsof Legendre moment as a measure to establish correspondence between feature points of the images to be registered. This correspondence is then used to estimate the transformation parameters to realize image registration. Experimental results show that the proposed method can effectively register degraded images with better performance compared to some other methods.

Key words: Keywords: image registration,, combined invariants of moment, , orthogonal Legendre moment

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