Edge detection based multi-material interface extraction on industrial CT volumes

作     者：OHTAKE Yutaka SUZUKI Hiromasa 

作者机构：Research Center for Advanced Science and Technology The University of Tokyo 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2013年第56卷第9期

页      面：74-82页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Japan Society for the Promotion of Science  JSPS  (22246018) 

主　　题：CT volume multi-material interface segmentation edge extraction 

摘      要：X-ray CT scanning is recently becoming a popular technology for industrial applications as well as medical ones. Since the geometrical accuracy is often important for industrial applications, more precise methods for processing CT volumes are required. This paper proposes a method for extracting the multimaterial interfaces on CT volumes obtained by industrial CT scanners. Instead of extracting isosurfaces we detect edge-points, at which the norm of the volume gradient takes a local maximum in the gradient direction, and then interpolate the points as the material interfaces represented by the zero-level of compounded implicit functions. In order to achieve a robust material-identification, multilabel graph-cut is utilized in our method. Using edge-points, we can reduce the inaccuracy caused by CT scanning artifacts.