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Authors: Rajarshi Biswas 1 and Sambhunath Biswas 2

Affiliations: 1 Saarland University, Germany ; 2 Indian Statistical institute, India

Keyword(s): Rotational Invariance, Discrete Disc, Illumination, Noise.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: Image analysis is significant from the standpoint of image description. A well described image has merits in different research areas, e.g., image compression, machine learning, computer vision etc. This paper is an attempt to analyze graylevel images through shifted orthogonal polynomial moments, computed on a discrete disc. This removes the difficulty of computing the moments on an analytic disc. Excellent rotational invariance as well as illumination invariance is observed.

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Paper citation in several formats:
Biswas, R. and Biswas, S. (2014). Image Analysis through Shifted Orthogonal Polynomial Moments. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP; ISBN 978-989-758-003-1; ISSN 2184-4321, SciTePress, pages 411-416. DOI: 10.5220/0004648004110416

@conference{visapp14,
author={Rajarshi Biswas. and Sambhunath Biswas.},
title={Image Analysis through Shifted Orthogonal Polynomial Moments},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP},
year={2014},
pages={411-416},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004648004110416},
isbn={978-989-758-003-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP
TI - Image Analysis through Shifted Orthogonal Polynomial Moments
SN - 978-989-758-003-1
IS - 2184-4321
AU - Biswas, R.
AU - Biswas, S.
PY - 2014
SP - 411
EP - 416
DO - 10.5220/0004648004110416
PB - SciTePress

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