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A Gabor Filter-Based Approach to Leaf Vein Extraction and Cultivar Classification

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Book cover Computational Science and Its Applications – ICCSA 2013 (ICCSA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7972))

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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.

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References

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Michels, D.L., Sobottka, G.A. (2013). A Gabor Filter-Based Approach to Leaf Vein Extraction and Cultivar Classification. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39643-4_12

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  • DOI: https://doi.org/10.1007/978-3-642-39643-4_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39642-7

  • Online ISBN: 978-3-642-39643-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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