Rotation-Invariant Image Description from Independent Component Analysis for Classification Purposes

Rodrigo D. C. da Silva, George A. P. Thé, Fátima N. S. de Medeiros

2015

Abstract

Independent component analysis (ICA) is a recent technique used in signal processing for feature description in classification systems, as well as in signal separation, with applications ranging from computer vision to economics. In this paper we propose a preprocessing step in order to make ICA algorithm efficient for rotation invariant feature description of images. Tests were carried out on five datasets and the extracted descriptors were used as inputs to the k-nearest neighbor (k-NN) classifier. Results showed an increasing trend on the recognition rate, which approached 100%. Additionally, when low-resolution images acquired from an industrial time-of-flight sensor are used, the recognition rate increased up to 93.33%.

Paper Citation

in Harvard Style

da Silva R., A. P. Thé G. and de Medeiros F. (2015). Rotation-Invariant Image Description from Independent Component Analysis for Classification Purposes . In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-123-6, pages 210-216. DOI: 10.5220/0005512802100216

in Bibtex Style

@conference{icinco15,
author={Rodrigo D. C. da Silva and George A. P. Thé and Fátima N. S. de Medeiros},
title={Rotation-Invariant Image Description from Independent Component Analysis for Classification Purposes},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2015},
pages={210-216},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005512802100216},
isbn={978-989-758-123-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Rotation-Invariant Image Description from Independent Component Analysis for Classification Purposes
SN - 978-989-758-123-6
AU - da Silva R.
AU - A. P. Thé G.
AU - de Medeiros F.
PY - 2015
SP - 210
EP - 216
DO - 10.5220/0005512802100216