树叶识别采用K-NN分类算法

Burcu Kir Savaş, Cemil Öz, Ali Gülbağ
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引用次数: 2

摘要

自从宇宙存在以来,植物在人类和其他生物的生命中起着至关重要的作用。尽管植物科学家进行了研究,但在我们的环境中仍有许多未被发现和未识别的物种。本文旨在将已获得清晰图像的叶片添加到系统中,并对这些叶片进行适当的分析。图像可以是之前拍摄的图像,也可以是通过瞬间连接的相机获得的图像。首先对叶片图像进行预处理,然后提取其特征。最后,利用K-NN算法完成分类处理。系统运行正常。
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Leaf recognition using K-NN classification algorithm
Plants play a crucial role in terms of the lives of human and other creatures since the existence of the universe. Despite the studies of plant scientists, there are many undiscovered and unidentified species in our environment. This paper is aimed to add the leaves, whose images have been clearly attained, to the system and to provide a proper analysis of those leaves. The images could be either the ones taken before or the ones obtained by means of a camera that is connected transiently. Leaf images went through pretreatment phases first, and then their features were extracted. Finally, classification processing was accomplished by using K-NN algorithm. The System is working successfully.
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