A SOLID TEXTURE DATABASE FOR SEGMENTATION AND CLASSIFICATION EXPERIMENTS

Ludovic Paulhac, Pascal Makris, Jean-Yves Ramel

2009

Abstract

This paper describes the methods of construction and the main characteristics of a solid texture database freely available for texture classification experiment. Here the purpose is to propose a solid texture database with many classes of different solid textures to allow an evaluation of properties and performance of analysis methods. Each images is described by a xml file made according to a DTD which is available in our web site. Using this formalism, it is even possible for a researcher to propose his own images or creation methods to complete this solid texture database. At last we discuss about different ways to exploit the database by reviewing some evaluation methods used to evaluate performance of classification and segmentation algorithms.

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Paper Citation


in Harvard Style

Paulhac L., Makris P. and Ramel J. (2009). A SOLID TEXTURE DATABASE FOR SEGMENTATION AND CLASSIFICATION EXPERIMENTS . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 135-141. DOI: 10.5220/0001768401350141

in Bibtex Style

@conference{visapp09,
author={Ludovic Paulhac and Pascal Makris and Jean-Yves Ramel},
title={A SOLID TEXTURE DATABASE FOR SEGMENTATION AND CLASSIFICATION EXPERIMENTS},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={135-141},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001768401350141},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - A SOLID TEXTURE DATABASE FOR SEGMENTATION AND CLASSIFICATION EXPERIMENTS
SN - 978-989-8111-69-2
AU - Paulhac L.
AU - Makris P.
AU - Ramel J.
PY - 2009
SP - 135
EP - 141
DO - 10.5220/0001768401350141