LANDMARK EXTRACTION FROM LEAVES WITH PALMATE VENATION - Application to Grape

Raffi Enficiaud, Sofiène Mouine

2012

Abstract

The growing interest of Content Base Image Retrieval techniques in the context of plant identification requires the development of appropriate features. A considerable amount of information about the taxonomic identity of a plant is contained in its leaves, and most of the botanical expertise uses jointly the contour and the venation network. The current work focuses principally on the extraction of the venation network, the base and secondary landmarks of leaves with uncluttered background, assuming only their structure as palmate. Morphological operators are used to extract a first approximation of the venation network, which is then filtered by a voting scheme and reconstructed using a connected component like algorithm. The base point and the primary veins are then extracted with an accuracy of 100%, which allows identification of the lobes and the measurement their relative length.

References

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Paper Citation


in Harvard Style

Enficiaud R. and Mouine S. (2012). LANDMARK EXTRACTION FROM LEAVES WITH PALMATE VENATION - Application to Grape . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 520-524. DOI: 10.5220/0003715705200524


in Bibtex Style

@conference{icpram12,
author={Raffi Enficiaud and Sofiène Mouine},
title={LANDMARK EXTRACTION FROM LEAVES WITH PALMATE VENATION - Application to Grape},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2012},
pages={520-524},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003715705200524},
isbn={978-989-8425-99-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - LANDMARK EXTRACTION FROM LEAVES WITH PALMATE VENATION - Application to Grape
SN - 978-989-8425-99-7
AU - Enficiaud R.
AU - Mouine S.
PY - 2012
SP - 520
EP - 524
DO - 10.5220/0003715705200524