Share Email Print

Proceedings Paper

Using a CBIR scheme based on expert knowledge for a computer-aided classification of ornamental stones
Author(s): Mohamed-Chaker Larabi; Noel Richard; Olivier Colot; C. Fernandez
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper aims to present a complete methodology based on a multidisciplinary approach, that combines the extraction of low-level features to describe images in a high-level concept or formalism dedicated to Computer-Aided Categorization of ornamental stones (granite, marble). The problem is resolved thanks to a Content-Based Image Retrieval scheme where each image from the ornamental database is represented by a features vector. This last is composed, on one hand, by a color feature corresponding to a novel characterization of color histogram and on the other hand by a texture feature corresponding to a color-based co-occurrence matrix from where we extract some feature representation. The combination of both color texture descriptors is done thanks to a stage of expert know-how extraction. This know-how is represented by the way of weighting factors and confidence degrees. The fusion of the whole data allows to improve the categorization performances.

Paper Details

Date Published: 1 May 2003
PDF: 12 pages
Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); doi: 10.1117/12.514960
Show Author Affiliations
Mohamed-Chaker Larabi, Univ. of Poitiers (France)
Noel Richard, Univ. of Poitiers (France)
Olivier Colot, Univ. of Science et Technology of Lille (France)
C. Fernandez, Univ. of Poitiers (France)

Published in SPIE Proceedings Vol. 5132:
Sixth International Conference on Quality Control by Artificial Vision
Kenneth W. Tobin Jr.; Fabrice Meriaudeau, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?