Gradient-based Hough transform for the detection and characterization of defects during nondestructive inspection

1997 ◽  
Author(s):  
Lew F. L. Y. Voon ◽  
Patrice Bolland ◽  
Olivier Laligant ◽  
Patrick Gorria ◽  
B. Gremillet ◽  
...  
Keyword(s):  
Hough Transform ◽  
Nondestructive Inspection ◽  
Gradient Based

scholarly journals Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier

2007 ◽  
Vol 37 (10) ◽  
pp. 1479-1491 ◽  
Author(s):  
Pasquale Delogu ◽  
Maria Evelina Fantacci ◽  
Parnian Kasae ◽  
Alessandra Retico
Keyword(s):  
Segmentation Algorithm ◽  
Gradient Based ◽  
Neural Classifier

Estimation of Thermal Boundary Conditions by Gradient Based and Genetic Algorythms

2012 ◽  
Vol 729 ◽  
pp. 144-149 ◽  
Author(s):  
Imre Felde
Keyword(s):  
Heat Transfer ◽  
Boundary Conditions ◽  
Optimization Methods ◽  
Optimization Techniques ◽  
Nsga Ii ◽  
Thermal Boundary Conditions ◽  
Treatment Processes ◽  
Gradient Based ◽  
Type Boundary

The prediction of third type boundary conditions occurring during heat treatment processes is an essential requirement for characterization of heat transfer phenomena. In this work, the performance of four optimization techniques is studied. These models are the Conjugate Gradient Method, the Levenberg-Marquardt Method, the Simplex method and the NSGA II algorithm. The models are used to estimate the heat transfer coefficient during transient heat transfer. The performance of the optimization methods is demonstrated using numerical techniques.

Horn & Schunck parameter characterization of the gradient based method for Optical Flow computing

2017 ◽  
Author(s):  
Gonzalo-Elias Blanco-Silva ◽  
Juan-Manuel Ramos-Arreguin ◽  
Manuel Toledano-Ayala ◽  
Juvenal Rodriguez-Resendiz
Keyword(s):  
Optical Flow ◽  
Gradient Based

scholarly journals Gradient based progressive probabilistic Hough transform

2001 ◽  
Vol 148 (3) ◽  
pp. 158 ◽  
Author(s):  
C. Galambos ◽  
J. Kittler ◽  
J. Matas
Keyword(s):  
Hough Transform ◽  
Gradient Based

A Routine to Determine the Shift of Kikuchi Bands in EBSD to Sub-pixel Resolution

2001 ◽  
Vol 7 (S2) ◽  
pp. 366-367
Author(s):  
Xiaodong Tao ◽  
Alwyn Eades
Keyword(s):  
Hough Transform ◽  
Initial Step ◽  
Threading Dislocations ◽  
Standard Analysis ◽  
Pixel Resolution ◽  
Linear Features ◽  
Ebsd Pattern ◽  
Made In

The long-term aim of our research is to detect and image dislocations in the SEM with EBSD. We will apply it first to the characterization of threading dislocations in Si/Si-Ge structures. As an initial step, we set out to detect the shift of the Kikuchi bands in EBSD patterns to sub-pixel precision.In the standard analysis of EBSD patterns, to find the positions of Kikuchi bands, it is usual to use the Hough transform. This transform displays the intensity along all lines in the EBSD pattern, as a function of the position and the angle of the line. Thus linear features in the pattern (Figure 1) appears as peaks in the transform (Figure 2a). in normal EBSD analysis, the aim is to determine the orientation of the grain to a precision of perhaps a degree or two. Therefore, many simplifications are made in the software with the aim of gaining speed.

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