节点文献

基于样条函数的原木CT图像序列数据重建

The Reconstruction of Log CT Images of 3-D Data Using Cubic Natural Spline Function

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 徐兆军业宁王厚立丁建文

【Author】 XU Zhao-jun,YE Ning,WANG Hou-li,DING Jian-wen(College of Wood Science and Technology Nanjing Forestry University,Nanjing 210037,China)

【机构】 南京林业大学木材工业学院南京林业大学木材工业学院 江苏南京210037江苏南京210037

【摘要】 CT图像中灰度大小与木材密度成正比。径切面上的木材密度变化不大,但缺陷出现时会有大幅变化。笔者依据以上的木材特性,以欧洲白腊为例利用三次自然样条函数对原木CT扫描三维数据重构,比较了有间隔和没有间隔的函数插值的数据。结果表明:进行原木CT图像采样时,适当的间隔可以提高CT的扫描效率和图像的处理速度,且能降低成本。

【Abstract】 According to the thorough research of computerized tomography(CT) in medical field,there are different scan methods for different kind of objects.There isn’t any interval between two topographies.The CT image processing software is usually applied in a workstation.When CT is used into the wood industry,in order to improve efficiency and reduce cost,the interval between two topographies is expected so that the data of CT image can be reconstructed by PC.However,the research about this method of interval and interpolation hasn’t been reported yet.This article,based on the reconstruction of three-D data by cubic natural spline function,compares the data got by using interval interpolation and that got without interval,and the result doesn’t show much difference between these two groups of data.The application of cubic natural spline function can reconstruct three-D data and thus improve efficiency and lower cost.

【基金】 国家自然科学基金资助项目(30271048);南京林业大学引进(留学)人才基金项目(G2002-28)
  • 【文献出处】 南京林业大学学报(自然科学版) ,Journal of Nanjing Forestry University , 编辑部邮箱 ,2005年06期
  • 【分类号】S781
  • 【被引频次】11
  • 【下载频次】105
节点文献中: 

本文链接的文献网络图示:

本文的引文网络