基于边缘检测和Lipschitz指数的磁共振图像特征点选取

Characteristic Point Extraction in MRI Based on EdgeDetection and Lipschitz Exponents

特征点的提取在医学图像配准中有着重要的意义.该文提出了一种磁共振颅骨图像特征点的选取方法,即在边缘检测、优化的基础上,利用Lipschitz指数找到颅骨外边缘的突变点作为特征点.实验证明,用本方法提取出的特征点是有效、稳健的,可用于下一步的图像配准.

Extraction of feature points has important significance in registration of medical images. This paper introduces a method to locate feature points in magnetic resonance images (MRI), which uses Lipschitz exponent to identify singular locations as feature points, based on edge detection and optimization. Experimental results show that the extracted points are reliable and robust for image registration.