首页 | 本学科首页   官方微博 | 高级检索  
     

基于拉普拉斯谱的医学图像配准算法
引用本文:夏云,梁栋,鲍文霞,徐慧,颜善.基于拉普拉斯谱的医学图像配准算法[J].计算机工程,2011,37(14):231-232.
作者姓名:夏云  梁栋  鲍文霞  徐慧  颜善
作者单位:安徽大学,计算智能与信号处理教育部重点实验室,合肥,230039;安徽大学电子信息工程学院,合肥,230039
基金项目:国家自然科学基金资助项目,安徽省教育厅重点科研计划基金资助项目,安徽大学"211工程"学术创新团队基金
摘    要:提出一种基于拉普拉斯谱的医学图像配准算法,通过将谱图理论应用到医学图像配准中并引入特征向量,以达到提高配准精确度和计算效率的目的.该算法根据医学图像的解剖特征来构造拉普拉斯矩阵,通过分析拉普拉斯矩阵的谱得到匹配关系;采用射影变换模型,计算射影矩阵;通过坐标变换和图像插值方法实现图像配准.实验结果表明,该算法与经典的最大...

关 键 词:配准  拉普拉斯谱    互信息  传感器
收稿时间:2010-12-06

Medical Image Registration Algorithm Based on Laplacian Spectrum
XIA Yun,LIANG Dong,BAO Wen-xia,XU Hui,YAN Pu.Medical Image Registration Algorithm Based on Laplacian Spectrum[J].Computer Engineering,2011,37(14):231-232.
Authors:XIA Yun  LIANG Dong  BAO Wen-xia  XU Hui  YAN Pu
Affiliation:a,b(a.Key Laboratory of Intelligent Computing and Signal Processing,Ministry of Education;b.School of Electronic Information Engineering,Anhui University,Hefei 230039,China)
Abstract:The medical image registration algorithm based on Laplacian spectrum algorithm is proposed. The idea of using graph theory as medical image point registration is proposed. By eigenvector, the higher registration precision and the strong ability have been achieved. The Laplacian spectrum of the anatomy feature point sets of the two images is constructed to match. The strategy uses the homogeneous matrix, coordinate transfer and the image interpolation to register. Experimental results show that it has more efficiency and higher registration precision than maximization of mutual information whenever in the single sensor or multi-sensor.
Keywords:registration  Laplacian spectrum  graph  mutual information  sensor
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程》浏览原始摘要信息
点击此处可从《计算机工程》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号