2008
DOI: 10.1109/tmag.2008.2004265
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3-D Eddy-Current Imaging of Metal Tubes by Gradient-Based, Controlled Evolution of Level Sets

Abstract: Abstract-Eddy-current non-destructive testing is widely used to detect defects within a metal structure. It is also useful to characterize their location and shape provided that proper maps of variations of impedance which the defects induce are available. Imaging of void defects in the wall of a hollow, nonmagnetic metal tube, is performed herein by controlled evolution of level sets. Such data are variations of impedance collected by a circular probe array close to the inner surface of the tube when a coil s… Show more

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Cited by 9 publications
(10 citation statements)
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“…Three representative breast structures are displayed in the three images of the left column, where the value at each pixel of the images represents the physical parameter "static relative permittivity." 1 Three images from microwave breast screening. The three images are synthetically generated from MRI breast models.…”
Section: Examples and Case Studiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Three representative breast structures are displayed in the three images of the left column, where the value at each pixel of the images represents the physical parameter "static relative permittivity." 1 Three images from microwave breast screening. The three images are synthetically generated from MRI breast models.…”
Section: Examples and Case Studiesmentioning
confidence: 99%
“…It follows that a descent velocity is now given as v.x/ D F ' 1 .x/n.x/ with with grad b J being defined in (85). In (98), for each x 2 1 , two adjacent points of grad b J j S C and grad b J j S contribute to the value of F ' 1 .x/ which can be found in the normal direction to 1 …”
Section: Example: Evolution Of Thin Shapes (Cracks)mentioning
confidence: 99%
“…Upon running a MCMC algorithm, a series of samples {x (1) , x (2) , · · · , x (K) } is available, K is the total number of iterations in Fig. 1.…”
Section: • Parameter Estimationmentioning
confidence: 99%
“…Statistical methods are usually transformed into an optimization problem solved by a numerical optimization algorithm, as in [1,14,16,37,47]. Due to the complexity of the problem, statistical methods usually need to overcome two hurdles: high computational cost due to many evaluations of the forward model, non-convex objective function due to nonlinear parameter dependence.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation