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A Neighborhood Incorporated Method in Image Registration

  • Chunlan Yang
  • Tianzi Jiang
  • Jianzhe Wang
  • Lian Zheng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4091)

Abstract

Mutual information has been widely used in image registration as an effective similarity measure. It has attracted a lot of attention to the effective use of the spatial information. Here we propose a new measure that includes the mean of the neighborhood region of each pixel as one variable of the two-dimension normal distribution assumed in our method. The experimental results show that our method can not only improve the robustness of mutual information, but also reduce the affect of noise in image registration.

Keywords

Mutual Information Spatial Information Image Registration Pixel Pair Marginal Probability Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chunlan Yang
    • 1
  • Tianzi Jiang
    • 2
  • Jianzhe Wang
    • 2
  • Lian Zheng
    • 1
  1. 1.School of Mechatronic EngineeringBeijing Institute of TechnologyBeijingChina
  2. 2.Medical Imaging and Computation Group, National Laboratory of Pattern Recognition, Institute of AutomationChinese Academy of SciencesBeijingChina

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