期刊文献+

基于边缘检测和Lipschitz指数的磁共振图像特征点选取 被引量:1

Characteristic Point Extraction in MRI Based on EdgeDetection and Lipschitz Exponents
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摘要 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.
出处 《上海大学学报(自然科学版)》 CAS CSCD 2003年第1期13-17,共5页 Journal of Shanghai University:Natural Science Edition
关键词 医学图像 图像配准 特征点 边缘检测 Lipschitz指数 磁共振图像 特征选取 medical image image registration feature points edge extraction Lipschitz exponent
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参考文献10

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共引文献51

同被引文献6

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