Special Section on Quality Control by Artificial Vision

Axis detection of cylindrical objects in three-dimensional images

[+] Author Affiliations
Christianne Mulat

LCTS, UMR 5801 CNRS-UB1-Safran-CEA, 33600 Pessac, France

Marc Donias

IMS, Dept. LAPS, Equipe Signal et Image, UMR 5218 CNRS ENSEIRB, 33405 Talence, France

Pierre Baylou

IMS, Dept. LAPS, Equipe Signal et Image, UMR 5218 CNRS ENSEIRB, 33405 Talence, France

Gérard L. Vignoles

LCTS, UMR 5801 CNRS-UB1-Safran-CEA, 33600 Pessac, France

Christian Germain

IMS, Dept. LAPS, Equipe Signal et Image, UMR 5218 CNRS ENITAB, 33405 Talence, France

J. Electron. Imaging. 17(3), 031108 (July 23, 2008). doi:10.1117/1.2957605
History: Received August 01, 2007; Revised November 21, 2007; Accepted December 19, 2007; Published July 23, 2008
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We introduce an algorithm dedicated to the detection of the axes of cylindrical objects in a 3D block. The proposed algorithm performs 3D axis detection without prior segmentation of the block. This approach is specifically appropriate when the gray levels of the cylindrical objects are not homogeneous and are thus difficult to distinguish from the background. The method relies on gradient and curvature estimation and operates in two main steps. The first one selects candidate voxels for the axes, and the second one refines the determination of the axis of each cylindrical object. Applied to fiber-reinforced composite materials, this algorithm detects the axes of fibers in order to obtain the geometrical characteristics of the reinforcement. Knowing the reinforcement characteristics is an important issue in the quality control of the material but also in the prediction of the thermal and mechanical performances. We detail the various steps of the algorithm and then present some results, obtained with both synthetic blocks and real data acquired by synchrotron X-ray micro-tomography on carbon-fiber-reinforced carbon composites.

© 2008 SPIE and IS&T

Citation

Christianne Mulat ; Marc Donias ; Pierre Baylou ; Gérard L. Vignoles and Christian Germain
"Axis detection of cylindrical objects in three-dimensional images", J. Electron. Imaging. 17(3), 031108 (July 23, 2008). ; http://dx.doi.org/10.1117/1.2957605


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