Surface detection with subvoxel accuracy using facet model and IDDG operator

Kai Wang; Ding Hua Zhang; Xin Bo Zhao; Kui Dong Huang; Yun Yong Cheng

doi:10.1109/CAIDCD.2006.329480

Surface detection with subvoxel accuracy using facet model and IDDG operator

Kai Wang, Ding Hua Zhang, Xin Bo Zhao, Kui Dong Huang, Yun Yong Cheng

School of Mechanical Engineering

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

A surface detection algorithm with sub voxel 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 3-D IDDG operator to estimate the gradient vector and 3-D directional derivatives. Subvoxel accuracy is achieved by locating the zeros of the 3-D 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.

Original language	English
Title of host publication	2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC
DOIs	https://doi.org/10.1109/CAIDCD.2006.329480
State	Published - 2006
Event	2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC - Hangzhou, China Duration: 17 Nov 2006 → 19 Nov 2006

Publication series

Name	2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC

Conference

Conference	2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC
Country/Territory	China
City	Hangzhou
Period	17/11/06 → 19/11/06

Keywords

Facet model
Integrated directional derivative gradient (IDDG) operator
Subvoxel accuracy
Surface detection

Access to Document

10.1109/CAIDCD.2006.329480

Cite this

Wang, K., Zhang, D. H., Zhao, X. B., Huang, K. D., & Cheng, Y. Y. (2006). Surface detection with subvoxel accuracy using facet model and IDDG operator. In 2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC Article 4127078 (2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC). https://doi.org/10.1109/CAIDCD.2006.329480

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title = "Surface detection with subvoxel accuracy using facet model and IDDG operator",

abstract = "A surface detection algorithm with sub voxel 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 3-D IDDG operator to estimate the gradient vector and 3-D directional derivatives. Subvoxel accuracy is achieved by locating the zeros of the 3-D 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 = "Facet model, Integrated directional derivative gradient (IDDG) operator, Subvoxel accuracy, Surface detection",

author = "Kai Wang and Zhang, {Ding Hua} and Zhao, {Xin Bo} and Huang, {Kui Dong} and Cheng, {Yun Yong}",

year = "2006",

doi = "10.1109/CAIDCD.2006.329480",

language = "英语",

isbn = "1424406838",

series = "2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC",

booktitle = "2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC",

note = "2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC ; Conference date: 17-11-2006 Through 19-11-2006",

}

Wang, K, Zhang, DH, Zhao, XB, Huang, KD & Cheng, YY 2006, Surface detection with subvoxel accuracy using facet model and IDDG operator. in 2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC., 4127078, 2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC, 2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC, Hangzhou, China, 17/11/06. https://doi.org/10.1109/CAIDCD.2006.329480

Surface detection with subvoxel accuracy using facet model and IDDG operator. / Wang, Kai; Zhang, Ding Hua; Zhao, Xin Bo et al.
2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC. 2006. 4127078 (2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Surface detection with subvoxel accuracy using facet model and IDDG operator

AU - Wang, Kai

AU - Zhang, Ding Hua

AU - Zhao, Xin Bo

AU - Huang, Kui Dong

AU - Cheng, Yun Yong

PY - 2006

Y1 - 2006

N2 - A surface detection algorithm with sub voxel 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 3-D IDDG operator to estimate the gradient vector and 3-D directional derivatives. Subvoxel accuracy is achieved by locating the zeros of the 3-D 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.

AB - A surface detection algorithm with sub voxel 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 3-D IDDG operator to estimate the gradient vector and 3-D directional derivatives. Subvoxel accuracy is achieved by locating the zeros of the 3-D 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.

KW - Facet model

KW - Integrated directional derivative gradient (IDDG) operator

KW - Subvoxel accuracy

KW - Surface detection

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U2 - 10.1109/CAIDCD.2006.329480

DO - 10.1109/CAIDCD.2006.329480

M3 - 会议稿件

AN - SCOPUS:51249117384

SN - 1424406838

SN - 9781424406838

T3 - 2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC

BT - 2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC

T2 - 2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC

Y2 - 17 November 2006 through 19 November 2006

ER -

Wang K, Zhang DH, Zhao XB, Huang KD, Cheng YY. Surface detection with subvoxel accuracy using facet model and IDDG operator. In 2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC. 2006. 4127078. (2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC). doi: 10.1109/CAIDCD.2006.329480

Surface detection with subvoxel accuracy using facet model and IDDG operator

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