MI-based Robust Image Registration Using a Novel Histogram Estimation Scheme
Mutual information (MI) has developed into an accurate measure for rigid and affine mono-and multi-modality image registration. The robustness of the measure, however, is questionable. To improve its robustness, in the present paper, a novel joint histogram estimation scheme is proposed in the calculation of MI for image registration. The new estimation scheme updates the histogram continuously by using an exponential function. Experimental results show that, compared with the partial volume interpolation (PVI), the suggested histogram estimation scheme yields a better MI registration function. The MI registration measure derived from the proposed scheme significantly reduces the interpolation-induced artefacts, encounters less local maxima and improves the registration robustness.
image registration mutual information joint histogram estimation multiresolution Powell optimization
Shaoyan Sun Chonghui Guo Liwei Zhang Lei Chen
School of Mathematics and Information Ludong University, Yantai, P. R. China 264025 Institute of Systems Engineering, Dalian University of Technology Dalian, P. R. China 116024 Department of Applied Mathematics, Dalian University of Technology Dalian, P. R. China 116024 Shandong Business Institute, Yantai, P. R. China 264025
国际会议
上海
英文
2579-2582
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）