A gabor filter-based approach to leaf vein extraction and cultivar classification

Dominik Michels, Gerrit Alexander Sobottka

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationComputational Science and Its Applications, ICCSA 2013 - 13th International Conference, Proceedings
Pages150-159
Number of pages10
EditionPART 2
DOIs
StatePublished - Aug 1 2013
Event13th International Conference on Computational Science and Its Applications, ICCSA 2013 - Ho Chi Minh City, Viet Nam
Duration: Jun 24 2013Jun 27 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7972 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Computational Science and Its Applications, ICCSA 2013
CountryViet Nam
CityHo Chi Minh City
Period06/24/1306/27/13

Keywords

  • Edge Tracing
  • Feature Extraction
  • Feature-Based Classification
  • Gabor Filter
  • Leaf Classification
  • Support Vector Machines

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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