| 基于支持向量机的玉米田间杂草识别方法 |
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| 引用本文： | 吴兰兰,刘剑英,文友先,邓晓炎.基于支持向量机的玉米田间杂草识别方法[J].农业机械学报,2009,40(1):162-166. |
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| 作者姓名： | 吴兰兰 刘剑英 文友先 邓晓炎 |
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| 作者单位： | 1. 华中农业大学工程技术学院,武汉,430070
2. 华中农业大学理学院,武汉,430070 |
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| 基金项目： | 华中农业大学校科研和教改项目 |
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| 摘 要： | 提出了一种基于图像处理和支持向量机(SVM)技术的玉米和杂草识别方法.首先根据玉米与杂草、土壤彩色图像的特征提出一类图像灰度化方法,并通过对灰度图像的除噪处理有效地分离目标对象.然后从处理好的图像中提取出目标对象的形状特征参数作为输入特征向量,进而提出玉米田间杂草识别的支持向量机方法.试验结果表明了方法的有效性,通过适当选取核函数识别率可达到98.3%.
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| 关 键 词： | 玉米 杂草识别 支持向量机 预处理 核函数 |
Weed Identification Method Based on SVM in the Corn Field |
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| Wu Lanlan,Liu Jianying,Wen Youxian,Deng Xiaoyan.Weed Identification Method Based on SVM in the Corn Field[J].Transactions of the Chinese Society of Agricultural Machinery,2009,40(1):162-166. |
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| Authors: | Wu Lanlan Liu Jianying Wen Youxian Deng Xiaoyan |
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| Institution: | 1.College of Engineering & Technology;Huazhong Agricultural University;Wuhan 430070;China2.College of Basic Sciences;China |
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| Abstract: | This paper proposed a method for corn-weed recognition by using the combination technique of image processing and support vector machine(SVM).A gray processing algorithm was proposed based on the features of corn-weed color images.The object could be separated effectively by denoising the gray image.The shape features of the object were extracted and taken as feature vectors,which could be used to propose the SVM method for the recognition of corn-weed.Comparing the SVM method with the neural-network one,th... |
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| Keywords: | Corn Weed identification Support vector machine Preprocessing Kernel function |
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