摘要
花卉识别是图像识别领域中最热门的研究课题之一,目前已广泛应用在智慧农业等领域。卷积神经网络是神经网络的一种类别,主要应用于视觉图像分析。笔者利用谷歌TensorFlow框架,基于卷积神经网络,通过花卉图片素材对模型进行训练,实现了对多种不同种类花卉图片的识别。
Flower recognition is one of the most popular research topics in the field of image recognition,and it has been widely used in smart agriculture and other fields.Convolutional Neural Networks is a category of Artificial Neural Networks,mainly used in visual image analysis.This paper uses the Google TensorFlow framework,based on the convolutional neural network,to train the model with flower pictures,and realizes the recognition of different kinds of flower pictures.
作者
王思霖
WANG Silin(School of Information Engineering,Xinyang Agriculture and Forestry University,Xinyang Henan 464000,China)
出处
《信息与电脑》
2022年第9期86-88,共3页
Information & Computer
关键词
花卉识别
图像识别
卷积神经网络
flower recognition
image recognition
Convolutional Neural Networks
