DocumentCode :
1902168
Title :
Crack Image Extraction Using a Radial Basis Functions Based Level Set Interpolation Technique
Author :
Nguyen, Hoangnam ; Kam, Tai Yan ; Cheng, Pi Ying
Author_Institution :
Dept. of Mech. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume :
3
fYear :
2012
fDate :
23-25 March 2012
Firstpage :
118
Lastpage :
122
Abstract :
The extraction of crack images is an important process in the area of structural health monitoring for determining the severity of the damage induced by cracks. In this paper, a radial basis functions (RBFs) based level set interpolation technique is proposed to extract the images of cracks in structures. In the proposed method, the level set in the form of radial basis functions with an ellipse constraint can represent accurately various shapes without requiring building interior and exterior layers for the sparse mesh grid of RBFs centers or using information on contour/surface normal. The initial distance function embedded in the ellipse-constrained RBFs can be interpolated on a much coarser grid. Its deformation is considered as an updating of the RBFs coefficients by solving an ordinary differential equation (ODE) and a non-convex quadratically constrained quadratic programming (QCQP). The use of a semi-definite relaxation technique in solving the non-convex QCQP problem has shown that initialization and re-initialisation are no longer necessary. The images of a number of cracks have been extracted using the proposed method. It has been shown that the proposed method can extract crack images efficiently with coarse grid of RBFs centers and is also less sensitive to the distribution of the crack images in the domain.
Keywords :
concave programming; condition monitoring; cracks; differential equations; interpolation; quadratic programming; radial basis function networks; structural engineering computing; RBF; contour-surface normal; crack image extraction; distance function; ellipse constraint; level set interpolation technique; nonconvex QCQP problem; nonconvex quadratically constrained quadratic programming; ordinary differential equation; radial basis functions; semidefinite relaxation technique; sparse mesh grid; structural health monitoring; Deformable models; Image segmentation; Interpolation; Level set; Mathematical model; Shape; Topology; crack identification; deformable model; heath monitoring; level set interpolation; quadratically constrained quadratic programming (QCQP); radial basis functions (RBFs); semidefinite relaxation (SDR);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
Type :
conf
DOI :
10.1109/ICCSEE.2012.462
Filename :
6188180
Link To Document :
بازگشت