关键词: 互信息, 相似性测度, 图相配准, 采样因子, 信息熵

Abstract: This paper studied the medical image registration method which was based on mutual information similarity. In the mutual information calculation process, the data of images were sampled by an entropy-based sampling method. This method divided the image into small blocks and calculated the entropy of each. The blocks were classified according to the size of entropy and different category has different sampling factor. The blocks with higher entropy should be sampled with higher factors while the blocks with smaller entropy should be sampled with smaller factors. The experimental results prove that this method can not only ensure the accuracy of registration but also accelerate the speed of registration, and it is suitable for medical image registration of real-time processing.

Key words: mutual information, similarity measure, image registration, sample factor, information entropy