Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28689
Title: EAGLE: A novel descriptor for identifying plant species using leaf lamina vascular features
Authors: Charters, J
Wang, Z
Chi, Z 
Tsoi, AC
Feng, DD
Keywords: Bag of Visual Words
Eagle
Hough transformation
Leaf image
Plant species identification
SURF
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014, 2014, 6890557 How to cite?
Abstract: The timely and accurate identification of plant species is a persistent challenge as pressure from human activity threatens global flora biodiversity. Most existing research on computer based plant species identification has focused on using leaf contour, signature and spectral analysis techniques alongside textural properties of the leaf lamina. However, these global feature based methods often suffer from limited discriminative ability and scalability, particularly on mobile devices for use in the field. In this paper, we propose a novel descriptor named EAGLE and employ the popular Bag of Visual Words (BoVW) model to achieve scalable and effective species identification suitable for implementation on mobile devices. EAGLE exploits the vascular structure of a leaf within a spatial context, where the edge patterns among neighbouring regions characterise the overall venation structure and are represented in a histogram of angular relationships. Experimental results on the widely used Swedish leaf image database demonstrated the EAGLE descriptor is able to boost the performance of the effective SURF local descriptor by 6%.
Description: 2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014, 14-18 July 2014
URI: http://hdl.handle.net/10397/28689
ISBN: 9781479947171
DOI: 10.1109/ICMEW.2014.6890557
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