Abstract
Leaves from plants are proved to be a feasible source of information used to identify plant species [1]. In this paper, we present a method to recognize plant leaves employing Histograms of Oriented Gradients (HOG) as the feature descriptor. For better robustness to illumination, shadow, quality degradation, etc., five vital factors of original HOG algorithm are discussed to evaluate the respective effects in different configurations. Experimental results show that this method achieves excellent performance in recognition rate.
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Xia, Q., Zhu, HD., Gan, Y., Shang, L. (2014). Plant Leaf Recognition Using Histograms of Oriented Gradients. In: Huang, DS., Jo, KH., Wang, L. (eds) Intelligent Computing Methodologies. ICIC 2014. Lecture Notes in Computer Science(), vol 8589. Springer, Cham. https://doi.org/10.1007/978-3-319-09339-0_38
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DOI: https://doi.org/10.1007/978-3-319-09339-0_38
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09338-3
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