| 基于径向基支持向量机的棉花虫害识别 |
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| 引用本文： | 张建华,冀荣华,袁雪,李慧,祁力钧.基于径向基支持向量机的棉花虫害识别[J].农业机械学报,2011,42(8):178-183. |
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| 作者姓名： | 张建华 冀荣华 袁雪 李慧 祁力钧 |
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| 作者单位： | 1. 中国农业大学工学院,北京,100083
2. 中国农业大学信息与电气工程学院,北京,100083 |
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| 基金项目： | 高等学校博士点专项科研基金资助项目（20110008110010）;中国农业大学研究生科研创新专项资助项目（KYCX2011072） |
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| 摘 要： | 针对棉花受棉蚜、棉叶螨、棉盲蝽、斜纹夜蛾和烟粉虱等害虫为害后叶片表面出现不同症状,利用计算机视觉技术识别棉花虫害.通过获取受害棉花叶片图像,预处理后转换至2G-R-B空间,结合Otsu算法实现色斑分割,提取色斑图像R变量、(R +G+B)/3变量的一阶矩、二阶矩和三阶矩为颜色特征,提取非色斑图像拓扑描述子和Hu不变矩为形状特征,提取2层双树复小波变换的细节图像均值和方差为纹理特征,并应用径向基支持向量机识别棉花棉蚜、棉叶螨、棉盲蝽、斜纹夜蛾、烟粉虱等虫害和正常叶片.试验结果表明,当径向基参数σ为3时,棉花虫害识别正确率达88.1％.
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| 关 键 词： | 计算机视觉 棉花 虫害 支持向量机 |
Recognition of Pest Damage for Cotton Leaf Based on RBF-SVM Algorithm |
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| Zhang Jianhu,Ji Ronghu,Yuan Xue,Li Hui and Qi Lijun.Recognition of Pest Damage for Cotton Leaf Based on RBF-SVM Algorithm[J].Transactions of the Chinese Society of Agricultural Machinery,2011,42(8):178-183. |
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| Authors: | Zhang Jianhu Ji Ronghu Yuan Xue Li Hui and Qi Lijun |
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| Institution: | China Agricultural University;China Agricultural University;China Agricultural University;China Agricultural University;China Agricultural University |
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| Abstract: | Based on different symptoms on pest damaged cotton leaf including cotton aphid,cotton spider mites,cotton plant bugs,cotton leafworm and whitefly,the recognition system of pest damage for cotton leaf was presented.After collecting cotton images,the mottling areas with cotton spider mites,cotton plant bugs and whitefly were segmented by Otsu method in 2G-R-B color space.The mean value,variance value and skewness value of mottling areas were extracted on the R and(R+G+B)/3 bands as color features if mottling ... |
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| Keywords: | Computer vision Cotton Pest SVM |
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