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Citation
2014. : Automatic Optical Detection of Indentation into Polymers for Inner Stress Analysis .
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Abstract
In this paper we present a method for automatic detection of Vickers indentation into polymers using computer vision techniques. Since the polymers relax after the indentation process we track the changes of the indentation and correlate the results with the inner stress of the polymer. The stress was applied by bending. Our results show that change in the shape of the indentation is correlated with the bending level. This knowledge can be utilized in applications of quality measurement.
Detail of publication
Title: | Automatic Optical Detection of Indentation into Polymers for Inner Stress Analysis |
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Author: | Lukáš Bureš ; Marek Hrúz ; Luděk Müller ; David Maňas ; Miroslav Maňas |
Language: | Czech |
Date of publication: | 11 Aug 2014 |
Year: | 2014 |
Type of publication: | Papers in journals |
Date: | 11 Aug 2014 - 12 Aug 2014 |
/ 2016-05-05 18:34:39 /
Keywords
PMMA, Inner stress, Vickers micro-hardness test, Relaxation, Image processing
BibTeX
@INPROCEEDINGS{LukasBures_2014_AutomaticOptical, author = {Luk\'{a}\v{s} Bure\v{s} and Marek Hr\'{u}z and Lud\v{e}k M\"{u}ller and David Ma\v{n}as and Miroslav Ma\v{n}as}, title = {Automatic Optical Detection of Indentation into Polymers for Inner Stress Analysis}, year = {2014}, url = {http://www.kky.zcu.cz/en/publications/LukasBures_2014_AutomaticOptical}, }