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Plant species recognition using leaf contours

机译:利用叶片轮廓识别植物种类

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摘要

Plants have a significant impact on human's life and development. Plant species identification is essential for scientists working in the agricultural and environmental fields. Recognizing a species is not a trivial task due to the vast number of plant species that exist on earth. In this paper we present a computer-vision based technique to recognize plants using the contour of the plant leaves. The contour of a leaf first is extracted then processed and a feature vector is formulated. The feature vectors are stored in a database to be used for identifying plants in the worksite. For a scientist to recognize a plant, an image of the leaf is first feed to the computer, the feature vector is then extracted from the leaf and finally the species is identified by matching the leaf feature vector with the feature vectors stored in the database. The effectiveness of the proposed method is demonstrated by an experiment.
机译:植物对人类的生活和发展具有重大影响。植物物种识别对于从事农业和环境领域工作的科学家至关重要。由于地球上存在大量植物物种,因此识别物种并不是一件容易的事。在本文中,我们提出了一种基于计算机视觉的技术,可以利用植物叶片的轮廓来识别植物。首先提取叶子的轮廓,然后进行处理,并制定特征向量。特征向量存储在数据库中,用于识别工作场所中的植物。为了让科学家识别植物,首先将叶子的图像输入计算机,然后从叶子中提取特征向量,最后通过将叶子特征向量与数据库中存储的特征向量进行匹配来识别物种。实验证明了该方法的有效性。

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