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计算机工程 ›› 2011, Vol. 37 ›› Issue (21): 188-190. doi: 10.3969/j.issn.1000-3428.2011.21.064

• 图形图像处理 • 上一篇    下一篇

基于最小概率距离和改进PV插值的图像配准

王鹤涛1,武栓虎1,张越翔2   

  1. (1. 烟台大学计算机学院,山东 烟台 264005;2. 烟台华润锦纶有限公司,山东 烟台 264006)
  • 收稿日期:2011-05-26 出版日期:2011-11-05 发布日期:2011-11-05
  • 作者简介:王鹤涛(1984-),男,硕士研究生,主研方向:数字图像处理;武栓虎,教授、博士;张越翔,助理工程师
  • 基金资助:
    国家自然科学基金资助项目(61070118)

Image Registration Based on Minimal Probability Distance and Improved PV Interpolation

WANG He-tao 1, WU Shuan-hu 1, ZHANG Yue-xiang 2   

  1. (1. School of Computer Science, Yantai University, Yantai 264005, China; 2. Yantai Huarun Nylon Co., Ltd., Yantai 264006, China)
  • Received:2011-05-26 Online:2011-11-05 Published:2011-11-05

摘要: 提出一种基于最小概率距离和改进部分体积(PV)插值的图像配准方法。采用Powell优化算法迭代搜索对称KL距离的最小值,获取最小概率距离,将其作为配准测度,并利用改进的PV插值算法提高图像配准的鲁棒性。实验结果表明,与基于互信息的图像配准方法相比,该方法能有效地减少耗费时间,提高配准精度。

关键词: 互信息, 图像配准, 最小概率距离, 部分体积插值, Powell优化

Abstract: This paper presents a new image registration method based on minimal probability distance and improved Partial Volume(PV) interpolation. Powell optimization algorithm is used to search the symmetric Kullback Leibler(KL) distance to get the minimal probability distance, which is used to be the criteria of registration. An adaptive PV interpolation method is given to improve the robustness of registration. Experimental result shows that this method can effectively reduce the time cost and improve the correctness of registration compared to the method based on mutual information.

Key words: Mutual Information(MI), image registration, minimal probability distance, Partial Volume(PV) interpolation , Powell optimization

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