Abstract
In this paper, we propose a new approach for plant leaf classification, which treat histogram of oriented gradients (HOG) as a new representation of shape, and use the Maximum Margin Criterion (MMC) for dimensionality reduction. We compare this algorithm with a classic shape classification method Inner-Distance Shape Context (IDSC) on Swedish leaf dataset and ICL dataset. The proposed method achieves better performance compared with IDSC.
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Xiao, XY., Hu, R., Zhang, SW., Wang, XF. (2010). HOG-Based Approach for Leaf Classification. In: Huang, DS., Zhang, X., Reyes GarcÃa, C.A., Zhang, L. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2010. Lecture Notes in Computer Science(), vol 6216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14932-0_19
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DOI: https://doi.org/10.1007/978-3-642-14932-0_19
Publisher Name: Springer, Berlin, Heidelberg
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