Abstract
To automatically identify plant species is very useful for ecologists, amateur botanists, educators, and so on. In this paper, an Android-based mobile application designed to automatically identify plant species by the photographs of tree leaves is described. In this application, one leaf image can be either a digital image from the existing leaf image database or a picture collected by a camera. The picture should be a single leaf placed on a light and untextured background without other clutter. The identification process consists of totally three steps: leaf image segmentation, feature extraction, and species identification. The demo system is evaluated on the ImageCLEF2012 Plant Identification database which contains 126 tree species from the French Mediterranean area. The output of the system to users is the top several species which match the query leaf image the best, as well as the textual descriptions and additional images about leaves, flowers, etc., of theirs. Our system works well with state-of-the-art identification performance.
This research was supported by the National Natural Science Foundation of China (No. 61005007), the 973 Program of China (No. 2013CB329604), the 863 Program of China (No. 2012AA011005), and the Hong Kong Scholars Program (No. XJ2012012).
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Ma, LH., Zhao, ZQ., Wang, J. (2013). ApLeafis: An Android-Based Plant Leaf Identification System. In: Huang, DS., Bevilacqua, V., Figueroa, J.C., Premaratne, P. (eds) Intelligent Computing Theories. ICIC 2013. Lecture Notes in Computer Science, vol 7995. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39479-9_13
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DOI: https://doi.org/10.1007/978-3-642-39479-9_13
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