中国农业大学学报2017，Vol.22Issue(7)：123-133,11.DOI:10.11841/j.issn.1007-4333.2017.07.15
基于深度学习和支持向量机的4种苜蓿叶部病害图像识别
Image recognition of four different alfalfa leaf diseases based on deep learning and support vector machine
摘要
Abstract
To realize timely and accurately diagnose and identification of alfalfa leaf diseases,automatic recognition of four kinds of alfalfa leaf diseases including common leaf spot caused by Pseudopeziza medicaginis,rust caused by Uromyces striatus,Leptosphaerulina leaf spot caused by Leptosphaerulina briosiana and Cercospora leaf spot caused by Cercospora medicaginis,was investigated based on image processing technology.A sub-image with one typical lesion or multiple typical lesions was obtained by artificial cutting from each of 899 digital images of the four kinds of alfalfa leaf diseases and then was segmented by using a segmentation method integrating with K median clustering algorithm and linear discriminant analysis.After segmentation,a total of 1 651 typical lesion images,each of which only contained one lesion,were obtained for further feature extraction and image recognition of the diseases.Features of the typical lesion images were extracted based on convolutional neural networks and were then used to build support vector machine (SVM) models for image recognition of the diseases.The results showed that the optimal one among the SVM models was built based on the normalized feature HSV,were obtained by merging the normalized features H,S and V while the corresponding original features which was extracted from the normalized lesion images of 32 × 32 pixels.For this optimal disease recognition SVM model,the recognition accuracy of the training set reached 94.91％ and that of the testing set was 87.48％.The results indicated that the image recognition model built based on deep learning and SVM could be applied to conduct the recognition and identification of the four kinds of alfalfa leaf diseases.In this study,some basis and methodological references were provided for the diagnosis and identification of alfalfa diseases and other plant diseases.关键词
苜蓿/病害/图像识别/特征提取/深度学习/卷积神经网络/支持向量机Key words
alfalfa/disease/image recognition/feature extraction/deep learning/convolutional neural network/support vector machine分类
农业科技引用本文复制引用
秦丰,刘东霞,孙炳达,阮柳,马占鸿,王海光..基于深度学习和支持向量机的4种苜蓿叶部病害图像识别[J].中国农业大学学报,2017,22(7):123-133,11.基金项目
公益性行业(农业)科研专项经费项目(201303057) （农业）
