抽象的な

Medical image registration based on gray distribution correlation

Xiaohua Shu, Zhenkang Shen, Xiaowei Long

To improve the precision and time consuming of medical image registration, an image registration technique based on the registration measurement is developed and proposed. In this method, a new matching measurement based on gray distribution correlation of the images is proposed, this parameter quantifies aligning degree of two medical images. Comparing with other similarity measurement, such as normal mutual information, the calculation cost spent in this registration method is low. Experiment results show that this method is valid and fast. and enhance robustness of image registration