Abstract
Within the scope of CROP.SENSe.net, an interdisciplinary research network of Bonn University and the Jülich Research Centre, we work on a new model-based approach to the phenotyping of grapevine. Our algorithm performs a robust extraction of different features from a given leaf image, like specific points of the vein network, the vein network itself, and different distances respectively angles between special features. For that we present robust methods, like a template based method to extract the peduncle point, a detection strategy to determine end points of leaf veins, and a Gabor filter-based directional edge tracing procedure to extract the network. The extracted features are fed into a support vector machine in order to realize a full automatic sufficient variety identification.
Original language | English (US) |
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Title of host publication | Proceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013 |
Editors | Hamid R. Arabnia, Leonidas Deligiannidis, Joan Lu, Fernando G. Tinetti, Jane You, George Jandieri, Gerald Schaefer, Ashu M. G. Solo, Vladimir Volkov |
Publisher | CSREA Press |
Pages | 407-412 |
Number of pages | 6 |
ISBN (Electronic) | 1601322526, 9781601322524 |
State | Published - 2013 |
Event | 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013 - Las Vegas, United States Duration: Jul 22 2013 → Jul 25 2013 |
Publication series
Name | Proceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013 |
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Volume | 1 |
Conference
Conference | 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013 |
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Country/Territory | United States |
City | Las Vegas |
Period | 07/22/13 → 07/25/13 |
Bibliographical note
Publisher Copyright:© 2013 CSREA Press. All rights reserved.
Keywords
- Cultivar classification
- Feature detection
- Gabor filters
- Support vector machines
- Vein extraction
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition