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Authors: Akar Taher ; Kacem Chehdi and Claude Cariou

Affiliation: University of Rennes 1, France

ISBN: 978-989-758-018-5

Keyword(s): Classification, Cooperative, Unsupervised, Nonparametric, Genetic Algorithm, Multicomponent, Image.

Related Ontology Subjects/Areas/Topics: Applications ; Classification ; Computer Vision, Visualization and Computer Graphics ; Image Understanding ; Multiclassifier Fusion ; Pattern Recognition ; Theory and Methods

Abstract: In this paper an unsupervised nonparametric cooperative and adaptive approach for multicomponent image partitioning is presented. In this approach the images are partitioned component by component and intermediate classification results are evaluated and fused, to get the final partitioning result. Two unsupervised classification methods are used in parallel cooperation to partition each component of the image. The originality of the approach relies i) on its local adaptation to the type of regions in an image (textured, non-textured), ii) on the automatic estimation of the number of classes and iii) on the introduction of several levels of evaluation and validation of intermediate partitioning results before obtaining the final classification result. For the management of similar or conflicting results issued from the two classification methods, we gradually introduced various assessment steps that exploit the information of each component and its adjacent components, and finally the information of all the components. In our approach, the detected region types are treated separately from the feature extraction step, to the final classification results. The efficiency of our approach is shown on two real applications using a hyperspectral image for the identification of invasive and non invasive vegetation and a multispectral image for pine trees detection. (More)

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Paper citation in several formats:
Taher A., Chehdi K. and Cariou C. (2014). An Unsupervised Nonparametric and Cooperative Approach for Classification of Multicomponent Image Contents.In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 263-270. DOI: 10.5220/0004828502630270

@conference{icpram14,
author={Akar Taher and Kacem Chehdi and Claude Cariou},
title={An Unsupervised Nonparametric and Cooperative Approach for Classification of Multicomponent Image Contents},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={263-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004828502630270},
isbn={978-989-758-018-5},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - An Unsupervised Nonparametric and Cooperative Approach for Classification of Multicomponent Image Contents
SN - 978-989-758-018-5
AU - Taher A.
AU - Chehdi K.
AU - Cariou C.
PY - 2014
SP - 263
EP - 270
DO - 10.5220/0004828502630270

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