The process of classification of marble slabs has an
important place in terms of construction sector and demands. Despite the
advanced mines and construction equipment in Turkey and the world, the
separation of cut marble process is a problem that has not been solved yet. The
lack of a standard for the classification of marbles and the use of human
factors for this process lead to erroneous and inefficient determinations. In
this study, for the first time the Deep Learning method has been tried on
marbles, and the components obtained from Deep Learning layers have been
examined and the success of classification has measured. Thanks to the
successful results, the basics of the Deep Learning network have been laid for
future marble databases.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Original Research Articles |
Authors | |
Publication Date | January 30, 2019 |
Acceptance Date | January 25, 2019 |
Published in Issue | Year 2019 Volume: 2 Issue: 1 |