Title :
Surface detection with subvoxel accuracy using facet model and IDDG operator
Author :
Wang, Kai ; Zhang, Ding-Hua ; Zhao, Xin-Bo ; Huang, Kui-Dong ; Cheng, Yun-Yong
Author_Institution :
Mech. & Electron. Inst., Northwestern Polytech. Univ., Xi´´an
Abstract :
A surface detection algorithm with subvoxel accuracy is presented to extract edge and surface information from computed tomography (CT) images for virtual measurement and reverse engineering. The proposed algorithm employs the facet model and 3D IDDG operator to estimate the gradient vector and 3D directional derivatives. Subvoxel accuracy is achieved by locating the zeros of the 3D second directional derivative along the estimated gradient direction. Adaptive gradient threshold is used for the surface detector to improve the algorithm performance when applied to images with non-uniform contrast caused by CT artifacts, such as beam-hardening. Experiment results are presented to demonstrate the efficacy of the proposed method
Keywords :
computerised tomography; edge detection; feature extraction; industrial engineering; reverse engineering; 3D IDDG operator; beam-hardening; computed tomography image; edge information extraction; facet model; gradient vector estimation; integrated directional derivative gradient operator; reverse engineering; subvoxel accuracy; surface detection; surface information extraction; virtual measurement; Computed tomography; Computer industry; Data mining; Detection algorithms; Detectors; Face detection; Image edge detection; Inspection; Reverse engineering; Surface fitting;
Conference_Titel :
Computer-Aided Industrial Design and Conceptual Design, 2006. CAIDCD '06. 7th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
1-4244-0683-8
Electronic_ISBN :
1-4244-0684-6
DOI :
10.1109/CAIDCD.2006.329480