Results 201 to 210 of about 995,411 (266)

Effect of Exchange-Correlation Functionals on Schottky Barriers at Si/Metal Interfaces. [PDF]

J Phys Chem C Nanomater Interfaces
Dovale-Farelo V, Choudhary K.
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Defect detection in C-scan maps

Pattern Recognition and Image Analysis, 2007
An image processing procedure is proposed aiming at detecting porosity defects in materials used in the aerospace industry by means of the analysis of C-scan images obtained by ultrasound inspection techniques. An image is described through a number of features, which are then analyzed in order to evaluate the similarity of an unknown examined image ...
Bozzi E, Cavaccini G, Chimenti M, Di Bono M G, Salvetti O   +4 more
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Fabrication of a novel C-scan photoacoustic imaging camera

2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2015
Our objective is to provide researchers with an inexpensive and fast photoacoustic imaging (PAI) device for exvivo studies. We implement this using an acoustic lens based focusing idea together with photoacoustic technology, resulting in a prototype imaging system. A complete photoacoustic imaging system simulation modeling is presented.
Bhargava Chinni, Vikram Dogra, Zichao Han, Navalgund Rao, Pedro Vallejo, Wayne Knox, Julie Bentley, Ronald Wood   +7 more
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Neural network correction of ultrasonic C-scan images

Ultrasonics, 1999
A neural network-based approach to the correction of C-scan images is presented. This allows the effects of a finite ultrasonic beam diameter in an immersion experiment to be considered, by training the network on a series of defects of known characteristics. The result is an image which is a better representation of the actual defect.
D A, Hutchins, A C, Pardoe, D R, Billson, E L, Hines   +3 more
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Automated Ultrasonic Testing of Materials based on C-scan Flaw Classification

2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA), 2021
The analysis of the data in non-destructive ultrasonic testing of materials is a very time- intensive task. To alleviate the aforementioned strain on the human expert inspectors, a plethora of assisted analysis methods based on deep learning have been developed recently.
Branimir Filipovic, Fran Milkovic, Marko Subasic, Sven Loncaric, Tomislav Petkovic, Marko Budimir   +5 more
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Ultrasonic C-scan imaging for material characterization

Ultrasonics, 1993
Abstract Advances in the field have enabled ultrasonic C-scan imaging to go beyond its classical application of detecting large single flaws to meet the challenge of non-destructive evaluation for modern engineered structures and new materials. Increased frequency of operation and novel transducer designs have led to micrometre resolution limits for ...
G.A. Gordon, S. Canumalla, B.R. Tittmann
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