A Gabor Filter-Based Approach to Leaf Vein Extraction and Cultivar Classification
Gerrit A. Sobottka,University of Bonn.
In Proceedings of Computational Science and Its Applications, ICCSA 2013, Part II, Pages 150-159,
Lecture Notes in Computer Science, Springer, Jun. 2013,
Best Paper Award.
BibTeX
@incollection
author = {Dominik L.~Michels and Gerrit A.~Sobottka},
title = {A Gabor Filter-Based Approach to Leaf Vein Extraction and Cultivar Classification},
pages = {150--159},
booktitle = {Computational Science and Its Applications – ICCSA 2013},
series = {Lecture Notes in Computer Science},
volume = {7972},
year = {2013},
publisher = {Springer},
address = {Berlin, Heidelberg},
isbn = {978-3-642-39642-7}
}
Abstract
We devise a new algorithm for the extraction of vine leaf veins. Our method performs a directional edge tracing on the responses of appropriate adaptive Gabor filters in order to extract the network of the main veins. The respective curvature vectors are used for the classification of different cultivars using support vector machines. We evaluate the advantageous behavior and the robustness of our approach on a test set consisting of 150 light transmitted images of different vine leaves.
Documents and Links
WWW,Springer Version,WWW,ICCSA.