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体数据特征点检测算法综述
引用本文:闫镔,谢易辰,陈文民,陈健,管民.体数据特征点检测算法综述[J].CT理论与应用研究,2014(1):173-182.
作者姓名:闫镔  谢易辰  陈文民  陈健  管民
作者单位:[1]信息工程大学信息系统工程学院,郑州450002 [2]河南省人民医院放射科,郑州450003
基金项目:国家自然科学基金项目(61372172).
摘    要:三维图像处理技术在当今得到了广泛的应用,体数据是一种重要的三维图像数据类型,基于体数据的三维特征点检测技术作为三维图像配准、分类和识别等方法的第一步,具有特殊的重要意义。本文阐述了基于体数据的特征点检测算法的特点,归纳总结了检测流程,对具有代表性的检测器进行了举例分析,最后给出了检测算法相应的评价方法。

关 键 词:体数据  特征点检测

Review of Feature Point Detection Algorithms Based on Volumetric Data
YAN Bin,XIE Yi-chen,CHEN Wen-min,CHEN Jian,GUAN Min.Review of Feature Point Detection Algorithms Based on Volumetric Data[J].Computerized Tomography Theory and Applications,2014(1):173-182.
Authors:YAN Bin  XIE Yi-chen  CHEN Wen-min  CHEN Jian  GUAN Min
Institution:1.National Digital Switching System Engineering & Technological R&D Center, Zhengzhou 450002, China 2.Department of Radiology, Henan Provincial People's Hospital, Zhengzhou 450002, China)
Abstract:Three-dimensional (3D) image processing Technologies have been widely used nowadays and volumetric data is an important type of 3D images. As the first step of 3D image registration, classification and recognition, feature point detection has a special significance. This paper describes the characteristics of feature point detection algorithms based on volumetric data, summarizes the process of detection, analyzes the representative detectors, and finally gives the corresponding evaluation methods.
Keywords:volumetric data  feature point detection
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