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Authors: Mert Kilickaya 1 ; Umut Cinar 2 and Sinan Ugurluoglu 3

Affiliations: 1 Hacettepe University, Turkey ; 2 3Y Technology, Turkey ; 3 Bilge Technology, Turkey

Keyword(s): Marble Classification, Color and Texture Recognition.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Visual Attention and Image Saliency

Abstract: The marbles consist a large part of the buildings and widely used. Though, the manufacturing process for marbles are time consuming and inefficient: Human experts assign inconsistent labels to different marble classes causing a big loss of time and money. It arises the need for an automatic method of classifying marbles. In this paper we present a novel method which utilizes color, structural and textural representations of a marble. Once the representation is combined with an accurate segmentation step, it achieves an accuracy of 94% on a newly collected dataset of 1000 images. We suggest the best settings for an automatic marble classification system which is simple and fast enough to be used in a real-life environment like marble factories.

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Paper citation in several formats:
Kilickaya, M.; Cinar, U. and Ugurluoglu, S. (2016). Efficient Marble Slab Classification using Simple Features. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 192-199. DOI: 10.5220/0005723201920199

@conference{visapp16,
author={Mert Kilickaya. and Umut Cinar. and Sinan Ugurluoglu.},
title={Efficient Marble Slab Classification using Simple Features},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP},
year={2016},
pages={192-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005723201920199},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP
TI - Efficient Marble Slab Classification using Simple Features
SN - 978-989-758-175-5
IS - 2184-4321
AU - Kilickaya, M.
AU - Cinar, U.
AU - Ugurluoglu, S.
PY - 2016
SP - 192
EP - 199
DO - 10.5220/0005723201920199
PB - SciTePress

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