IMAGE REGISTRATION BASED ON MAXIMIZATION OF GRADIENT CODE MUTUAL INFORMATION

Authors

  • Xiaoxiang Wang
  • Jie Tian

DOI:

https://doi.org/10.5566/ias.v24.p1-7

Keywords:

gradient code mutual information, hill-climbing, image registration, mutual information, simulated annealing

Abstract

Herein one proposes a mutual information-based registration method using pixel gradient information rather than pixel intensity information. Special care is paid to finding the global maximum of the registration function. In particular, one uses simulated annealing method speeded up by including a statistical analysis to reduce the next search space across the cooling schedule. An additional speed up is obtained by combining this numerical strategy with hill-climbing method. Experimental results obtained on a limited database of biological images illustrate that the proposed method for image registration is relatively fast, and performs well as the overlap between the floating and reference images is decreased and/or the image resolution is coarsened.

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Published

2011-05-03

How to Cite

Wang, X., & Tian, J. (2011). IMAGE REGISTRATION BASED ON MAXIMIZATION OF GRADIENT CODE MUTUAL INFORMATION. Image Analysis and Stereology, 24(1), 1–7. https://doi.org/10.5566/ias.v24.p1-7

Issue

Section

Original Research Paper