| 采摘机器人基于支持向量机苹果识别方法 |
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| 引用本文： | 王津京,赵德安,姬伟,张超.采摘机器人基于支持向量机苹果识别方法[J].农业机械学报,2009,40(1):148-151. |
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| 作者姓名： | 王津京 赵德安 姬伟 张超 |
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| 作者单位： | 江苏大学电气信息工程学院,镇江,212013 |
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| 基金项目： | 国家高技术研究发展计划(863计划)，江苏大学校科研和教改项目 |
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| 摘 要： | 针对目前苹果采摘机器人果实识别过程误差大、处理时间长等问题,应用支持向量机(SVM)方法对苹果果实进行识别.首先采用矢量中值滤波法对苹果彩色图像进行预处理,然后运用区域生长算法和颜色特征相结合的方法进行图像分割,最后分别对苹果彩色图像的颜色特征、几何形状特征进行提取,并用支持向量机的模式识别方法识别苹果果实.实验结果表明:支持向量机识别方法的识别性能优于神经网络方法;综合颜色特征和形状特征的支持向量机识别方法对苹果果实识别的正确率高于只用颜色特征或形状特征的正确率.
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| 关 键 词： | 苹果 采摘机器人 机器视觉 支持向量机 识别 |
Apple Fruit Recognition Based on Support Vector Machine Using in Harvesting Robot |
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| Wang Jinjing,Zhao Dean,Ji Wei,Zhang Chao.Apple Fruit Recognition Based on Support Vector Machine Using in Harvesting Robot[J].Transactions of the Chinese Society of Agricultural Machinery,2009,40(1):148-151. |
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| Authors: | Wang Jinjing Zhao Dean Ji Wei Zhang Chao |
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| Institution: | School of Electrical and Information Engineering;Jiangsu University;Zhenjiang 212013;China |
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| Abstract: | The critical task of the robot vision system in the apple harvesting robot is to recognize and locate each single apple.To solve recognition problems such as the big error,too much calculation and time consuming,a new recognizing method, support vector machine(SVM) was applied to improve recognition accuracy and efficiency.Firstly,vector median filter method was used to remove the color images noise of apple fruit.Secondly,segmentation of the images based on region growing method and color properties was do... |
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| Keywords: | Apple Harvesting robot Robot vision Support vector machine Recognition |
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