计算机应用研究2017，Vol.34Issue(1)：279-282,4.DOI:10.3969/j.issn.1001-3695.2017.01.063
基于ZM相特征描述符的图像配准方法
Method of image registration based on ZM phase feature description
摘要
Abstract
In view of the image characteristics of the uncertainty factors such as angle,blur,rotation,scaling transform and noise,which affected the precision of image registration,this paper defined the distinctive image descriptor based on the Zerni-ke moment (ZM)phase information,provided the ZM normalization and its measurement method.Meanwhile,this paper es-tablished a new image registration algorithm.Simulation experiments show that the proposed algorithm can effectively extract the image feature points and match the feature accurately,and reduce the algorithm complexity significantly for a prescribed matching accuracy.关键词
图像配准/Zernike矩/相特征/特征描述符Key words
image registration/Zernike moment/phase feature/feature description分类
信息技术与安全科学引用本文复制引用
郑寇全,杨文静,张继周,雷英杰,魏强..基于ZM相特征描述符的图像配准方法[J].计算机应用研究,2017,34(1):279-282,4.基金项目
国家自然科学基金资助项目（61272011，61309022）；国家重点实验室基金资助项目（2012ADL-DW0301）；陕西省自然科学青年基金资助项目 （）
