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Leaf features based approach for automated identification of medicinal plants

机译:基于叶子特征的药用植物自动鉴定方法

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Use of the correct plant extracts is crucial in Ayurvedic treatment. This paper focuses on the automatic identification of medicinal plants that are commonly used in Ayurveda. Previous work indicated a Gaussian distribution for various image related features of the medical plant leaves. This work strengthens this conclusion by extending the results through a better classifier design. In this work, we have considered additional plant species to prove that obtained image features are again Gaussian distributed, with the accuracy of the classifier computed.
机译:使用正确的植物提取物在Ayurvedic治疗中至关重要。本文重点介绍了Ayurveda常用的药用植物的自动识别。以前的工作表明了医疗植物叶子的各种图像相关特征的高斯分布。通过通过更好的分类器设计将结果扩展来加强这一结论。在这项工作中,我们考虑了额外的植物物种来证明所获得的图像特征是高斯分布的,具有所计算的分类器的准确性。

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