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Authors: Amira Ben Mabrouk ; Asma Najjar and Ezzeddine Zagrouba

Affiliation: Université Tunis Elmanar, Tunisia

ISBN: 978-989-758-004-8

Keyword(s): SURF, Lab Color Space, Visual Vocabulary, SVM, MKL.

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

Abstract: In this paper, we present, first, a new method for color feature extraction based on SURF detectors. Then, we proved its efficiency for flower image classification. Therefore, we described visual content of the flower images using compact and accurate descriptors. These features are combined and the learning process is performed using a multiple kernel framework with a SVM classifier. The proposed method has been tested on the dataset provided by the university of oxford and achieved better results than our implementation of the method proposed by Nilsback and Zisserman (Nilsback and Zisserman, 2008) in terms of classification rate and execution time.

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Paper citation in several formats:
Ben Mabrouk, A.; Najjar, A. and Zagrouba, E. (2014). Image Flower Recognition based on a New Method for Color Feature Extraction.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 201-206. DOI: 10.5220/0004636302010206

@conference{visapp14,
author={Amira Ben Mabrouk. and Asma Najjar. and Ezzeddine Zagrouba.},
title={Image Flower Recognition based on a New Method for Color Feature Extraction},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={201-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004636302010206},
isbn={978-989-758-004-8},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Image Flower Recognition based on a New Method for Color Feature Extraction
SN - 978-989-758-004-8
AU - Ben Mabrouk, A.
AU - Najjar, A.
AU - Zagrouba, E.
PY - 2014
SP - 201
EP - 206
DO - 10.5220/0004636302010206

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