Machine Vision, Pattern Recognition

Three-dimensional object recognition using x-ray imaging

[+] Author Affiliations
Sekwon Yeom, Bahram Javidi

University of Connecticut, Electrical and Computer Engineering Department, 371 Fairfield Road, Unit 1157, Storrs, CT 06269-1157 E-mail: Bahram@engr.uconn.edu

Young Jun Roh, Hyung Suck Cho

Korea Advanced Institute of Science and Technology, Department of Mechanical Engineering, 373-1, Guseong-dong, Yuseong-gu, Daejeon, Korea, 305-701

Opt. Eng. 44(2), 027201 (Jan. 7, 2005). doi:10.1117/1.1844532
History: Received Feb. 19, 2004; Revised Jul. 12, 2004; Accepted Aug. 11, 2004; Jan. 7, 2005; Online January 07, 2005
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This paper presents a distortion-tolerant 3-D volume object recognition technique. Volumetric information on 3-D objects is reconstructed by x-ray imaging. We introduce 3-D feature extraction, volume matching, and statistical significance testing for the 3-D object recognition. The 3D Gabor-based wavelets extract salient features from 3-D volume objects and represent them in the 3-D spatial-frequency domain. Gabor coefficients constitute feature vectors that are invariant to translation, rotation, and distortion. Distortion-tolerant volume matching is performed by a modified 3-D dynamic link association (DLA). The DLA is composed of two stages: rigid motion of a 3-D graph, and elastic deformation of the graph. Our 3-D DLA presents a simple and straightforward solution for a 3-D volume matching task. Finally, significance testing decides the class of input objects in a statistical manner. Experiment and simulation results are presented for five classes of volume objects. We test three classes of synthetic data (pyramid, hemisphere, and cone) and two classes of experimental data (short screw and long screw). The recognition performance is analyzed in terms of the mean absolute error between references and input volume objects. We also confirm the robustness of the recognition algorithm by varying system parameters. © 2005 Society of Photo-Optical Instrumentation Engineers.

© 2005 Society of Photo-Optical Instrumentation Engineers

Citation

Sekwon Yeom ; Bahram Javidi ; Young Jun Roh and Hyung Suck Cho
"Three-dimensional object recognition using x-ray imaging", Opt. Eng. 44(2), 027201 (Jan. 7, 2005). ; http://dx.doi.org/10.1117/1.1844532


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