计算机科学 ›› 2017, Vol. 44 ›› Issue (10): 302-306.doi: 10.11896/j.issn.1002-137X.2017.10.054
杜海顺,蒋曼曼,王娟,王胜
DU Hai-shun, JIANG Man-man, WANG Juan and WANG Sheng
摘要: 农作物病害是我国主要的农业灾害之一,准确识别病害类型是防治农作物病害的关键。因此,首先采集了小麦、玉米、花生、棉花4种农作物的22种常见叶部病害的441张图像;然后,在对每张病害图像中的叶片和病斑进行分割的基础上,分别提取了描述农作物种类的叶片特征参数和描述病害类型的病斑特征参数;其次,将这两类特征参数组合并作归一化处理,得到病害图像的数据特征向量;再次,采用所有病害图像的数据特征向量,构建了一个农作物叶部病害数据集;最后,在同时考虑数据特征重要性和数据空间局部性的基础上,提出了一种双权重协同表示分类(DWCRC)方法并将其用于农作物叶部病害识别。在农作物叶部病害数据集上的实验结果表明,提出的双权重协同表示分类方法在用于农作物叶部病害识别时具有较高的识别率。
[1] TIAN Y W,ZHANG C S,LI C H.Study on plant disease recognition using support vector machine and chromaticity moments [J].Transactions of the Chinese Society of Agricultural Machinery,2004,35(3):95-98.(in Chinese) 田有文,张长水,李成华.基于支持向量机和色度矩的植物病害识别研究[J].农业机械学报,2004,35(3):95-98. [2] WANG S W,ZHANG C L.Study on identification of cucumber leaf disease based on image processing [J].Journal of Northeast Agricultural University,2012,43(5):69-73.(in Chinese) 王树文,张长利.基于图像处理技术的黄瓜叶片病害识别诊断系统研究[J].东北农业大学学报,2012,43(5):69-73. [3] XU G L,MAO H P,LI P P.Extracting color features of leaf color images [J].Transactions of the Chinese Society of Agricultural Engineering,2002,18(4):150-154.(in Chinese) 徐贵力,毛罕平,李萍萍.缺素叶片彩色图像颜色特征提取的研究[J].农业工程学报,2002,18(4):150-154. [4] CEN Z X,LI B J,SHI Y X,et al.Discrimination of cucumber anthracnose and cucumber brown speck base on color image statistical characteristics [J].Acta Horticulturae Sinica,2007,34(6):1425-1430.(in Chinese) 岑喆鑫,李宝聚,石延霞,等.基于彩色图像颜色统计特征的黄瓜炭疽病和褐斑病的识别研究[J].园艺学报,2007,34(6):1425-1430. [5] HUO Y Q,TANG J L,YIN X Z.Research on identificationmethod of apple disease based on gray relation analysis [J].Experimental Technology and Management,2013,30(1):49-55.(in Chinese) 霍迎秋,唐晶磊,尹秀珍.基于灰度关联分析的苹果病害识别方法研究[J].实验技术与管理,2013,30(1):49-55. [6] ZHANG J,WANG S X,DONG X Z,et al.A study on method of extract of texture characteristic value in image processing for plant disease of greenhouse [J].Journal of Shenyang Agricultural University,2006,37(3):282-285.(in Chinese) 张静,王双喜,董晓志,等.基于温室植物叶片纹理的病害图像处理及特征值提取方法的研究[J].沈阳农业大学学报,2006,37(3):282-285. [7] FANG J L,ZHANG C L,PAN W,et al.Automated identification of tomatoes with diseases using artificial neural network trained with genetic algorithms [J].Transactions of the Chinese Society of Agricultural,2004,20(3):113-116.(in Chinese) 房俊龙,张长利,潘伟,等.用遗传算法训练的人工神经网络识别番茄生理病害果[J].农业工程学报,2004,20(3):113-116. [8] ZHAO Y X,WANG K R,BAI Z Y,et al.Research of maize leaf disease identifying system based image recognition[J].Scientia Agricultura Sinica,2007,40(4):698-703.(in Chinese) 赵玉霞,王克如,白中英,等.基于图像识别的玉米叶部病害诊断研究[J].中国农业科学,2007,40(4):698-703. [9] XIA Z W.Applying multi-fractal theory to feature extraction of maize disease image [J].Journal of Southern Agriculture,2013,44(5):871-874.(in Chinese) 夏政伟.多重分形理论在玉米病害图像特征提取中的应用[J].南方农业学报,2013,44(5):871-874. [10] ZHANG F Y.Recognition of corn leaf disease based on quantum neural network and combination characteristic parameter[J].Journal of Southern Agriculture,2013,44(8):1286-1290.(in Chinese) 张飞云.基于量子神经网络和组合特征参数的玉米叶部病害识别[J].南方农业学报,2013,44(8):1286-1290. [11] WANG X F,ZHANG S W,WANG Z,et al.Recognition of cucumber diseases based on leaf image and environmental information [J].Transactions of the Chinese Society of Agricultural Engineering,2014,30(14):148-153.(in Chinese) 王献锋,张善文,王震,等.基于叶片图像和环境信息的黄瓜病害识别方法[J].农业工程学报,2014,30(14):148-153. [12] TIAN K,ZHANG L K,XIONG M D,et al.Recognition of phomopsis vexans in solanum melongena based on leaf disease spot features [J].Transactions of the Chinese Society of Agricultural Engineering,2016,32(1):184-189.(in Chinese) 田凯,张连宽,熊美东,等.基于叶片病斑特征的茄子褐纹病识别方法[J].农业工程学报,2016,32(1):184-189. [13] DENG J Z,LI M,YUAN Z B,et al.Study on diagnosis of tilletia based on image recognition[J].Journal of Northeast AgriculturalUniversity,2012,43(5):74-77.(in Chinese) 邓继忠,李敏,袁之报,等.基于图像识别的小麦腥黑穗病害诊断技术研究[J].东北农业大学学报,2012,43(5):74-77. [14] WRIGHT J,YANG A Y,GANESH A,et al.Robust face recognition via sparse representation [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(2):210-227. [15] ZHANG L,YANG M,FENG X.Sparse representation or collaborative representation:which helps face recognition?[C]∥Proceeding of 2011 IEEE International Conference on Computer Vision.Washington DC,USA:IEEE Computer Society,2011:471-478. [16] YANG M,ZHANG L,YANG J,et al.Regularized robust coding for face recognition[J].IEEE Transaction on Image Proces-sing,2013,22(5):1753-1766. [17] LU C,MIN H,GUI J,et al.Face recognition via weighted sparse representation [J].Journal of Visual Communication and Image Representation,2013,24(2):111-116. [18] TANG X,FENG G,CAI J.Weighted group sparse representation for undersampled face recognition[J].Neurocomputing,2015,145(18):402-415. [19] WAQAS J,YI Z,ZHANG L.Collaborative neighbor representation based classification using l2-minimization approach[J].Pattern Recognition Letters,2013,34:201-208. [20] HUO Y Q,TANG J L,YIN X Z,et al.Apple disease recognition based on compressive sensing [J].Transactions of the Chinese Society of Agricultural Machinery,2013,44(10):227-232.(in Chinese) 霍迎秋,唐晶磊,尹秀珍,等.基于压缩感知理论的苹果病害识别方法[J].农业机械学报,2013,44(10):227-232. [21] GONZALEZ R C,WOODS R E.Digital image processing (3rd Edition)[M].Prentice Hall Press,2001. [22] ZHAO X M,LI Y,ZHAO Q H.Image Segmentation by Fuzzy Clustering Algorithm Combining Hidden Markov Random Field and Gaussian Regression Model[J].Journal of Electronics & Information Technology,2014,36(11):2730-2736.(in Chinese) 赵雪梅,李玉,赵泉华.结合高斯回归模型和隐马尔可夫随机场的模糊聚类图像分割[J].电子信息学报,2014,36(11):2730-2736. [23] GAO S B,ZHOU J B,YAN Y Y.A new superpixel based spectral clustering for image segmentation [J].Journal of Nanjing University (Natural Sciences),2013,49(2):169-174.(in Chinese) 高尚兵,周静波,严云洋.一种新的基于超像素的谱聚类图像分割算法[J].南京大学学报(自然科学版),2013,49(2):169-174. [24] WU Y L,ZAHO L,JIANG H Y,et al.Image segmentationmethod for green crops using improved mean shift [J].Transactions of the Chinese Society of Agricultural Engineering,2014,30(24):161-167.(in Chinese) 伍艳莲,赵力,姜海燕,等.基于改进均值漂移算法的绿色作物图像分割方法[J].农业工程学报,2014,30(24):161-167. [25] SHI Y Y.Rice nutrition diagnosis and modeling based on digital image [D].Hangzhou:Zhejiang University,2010.(in Chinese) 石媛媛.基于数字图像的水稻氮磷钾营养诊断与建模研究[D].杭州:浙江大学,2010. [26] HARALICK R M,SHANMUGAM K,DINSTEIN I.Textualfeatures for image classification [J].IEEE Transactions on Systems,Man and Cybernetics,1973,3(6):610-621. [27] YAN H,LU J,ZHOU X,et al.Multi-feature multi-manifold learning for single-sample face recognition[J].Neurocompu-ting,2014,143(16):134-143. [28] RAHMANI H,HUYHN D Q,MAHMOOD A,et al.Discriminative human action classification using locality-constrained linearcoding[J].Pattern Recognition Letters,2016,72:62-71. [29] WANG J,YANG J,YU K,et al.Locality constrained linear co-ding for image classification [C]∥Proceeding of 2010 IEEE Conference on Computer Vision and Pattern Recognition.Washing-ton DC,USA:IEEE Computer Society,2010:3360-3367. |
No related articles found! |
|