NEW WAVELETS BASED FEATURES FOR NATURAL SURFACE INDEXING

H. Alexandre, J. Caldas Pinto

Abstract

Natural Surfaces Indexing based on their visual appearance is an important industrial issue for example in inspection and automatic goods retrieval problems. However due to the presence of randomly distributed high number of different colours and its subjective evaluation by human experts, the problem remains practically unsolved. In this paper it is presented some new features derived from a wavelet decomposition of the original images. This decomposition was applied to different models of colour representation and they were used different wavelet families and resolution levels. It will be shown that promising indexing results applied to marble surfaces can be obtained with a suitable combination of those parameters and using our proposed new features for indexing with very simple Euclidian distances.

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Paper Citation


in Harvard Style

Alexandre H. and Caldas Pinto J. (2006). NEW WAVELETS BASED FEATURES FOR NATURAL SURFACE INDEXING . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6, pages 311-316. DOI: 10.5220/0001373203110316


in Bibtex Style

@conference{visapp06,
author={H. Alexandre and J. Caldas Pinto},
title={NEW WAVELETS BASED FEATURES FOR NATURAL SURFACE INDEXING},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={311-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001373203110316},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - NEW WAVELETS BASED FEATURES FOR NATURAL SURFACE INDEXING
SN - 972-8865-40-6
AU - Alexandre H.
AU - Caldas Pinto J.
PY - 2006
SP - 311
EP - 316
DO - 10.5220/0001373203110316