Authors:
Ludovic Paulhac
;
Pascal Makris
and
Jean-Yves Ramel
Affiliation:
Université François Rabelais, France
Keyword(s):
Solid texture database, Image classification, Image segmentation, Evaluation.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Segmentation and Grouping
;
Signal Processing, Sensors, Systems Modeling and Control
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.