Title:
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DATA INTERPOLATION BASED ON CONTEXTUAL
ANALYSIS FOR GENERATING TOMOGRAPHIC IMAGES
IN CONCRETE SPECIMEN |
Author(s):
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Roger Manuel Quispe Urure , Marco Antonio Garcia de Carvalho,
Marinara Andrade Nascimento Moura and Gisleiva Cristina dos Santos Ferreira |
ISBN:
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978-989-8704-21-4 |
Editors:
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Yingcai Xiao, Ajith P. Abraham and Jörg Roth |
Year:
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2020 |
Edition:
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Single |
Keywords:
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Concrete, Data interpolation, Ultrasonic Tomography, Thresholding |
Type:
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Full |
First Page:
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55 |
Last Page:
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62 |
Language:
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English |
Cover:
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Full Contents:
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click to dowload
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Paper Abstract:
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In the Construction area, inspections of concrete structure could be carried out using non-destructive tests, such as
ultrasonic tomography. Usually, images generated by this technique are improved by means of spatial interpolation data.
This research proposes the use of a new spatial interpolation technique in order to generating tomographic images of
concrete. This approach was originally used on wood tomographic images and is based on contextual analysis according
to the location of the point to be interpolated. Also, it is considered the influence zone of each route obtained in the
concrete ultrasonic test. The ultrasonic tests were performed in cylindrical specimens with and without PVC tubes,
simulating voids in concrete. The achieved result of our analysis are compared to the ground truth images and those
obtained by Inverse Distance Weighting, using accuracy metric and image processing operations. The results indicated
high accuracy values (greater than 90%), i.e, the spatial interpolation technique (method) is promising in identifying the
presence of voids in concrete elements. |
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