MACHINE VISION BASED COTTON RECOGNITION FOR COTTON HARVESTING ROBOT

机译：基于机器视觉的棉收获机器人棉识别

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A new cotton recognition method is proposed in this paper. It provides parameters for motion of the manipulator so that it can acquire precise location information of cotton, identify cotton from surroundings correctly, and accordingly pick up them automatically. This method is based on color subtraction information of different parts of cotton. Furthermore, in order to increase accuracy rate of cotton recognition, dynamic Freeman chain coding is used to remove noise. Experimental results show that the proposed method has good performance for cotton identification.

机译：提出了一种新的棉花识别方法。它为机械手的运动提供参数，以便它可以获取棉花的精确位置信息，从周围环境中正确识别棉花，并相应地自动捡起它们。该方法基于棉花不同部分的色差信息。此外，为了提高棉花识别的准确率，使用动态弗里曼链编码来去除噪声。实验结果表明，该方法具有良好的棉花鉴定性能。

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来源
《IFIP(International Federation for Information Processing) TC 12 International Conference on Computer and Computing Technologies in Agriculture(CCTA 2007); 20070818-20; Wuyishan(CN)》|2007年|P.14211425|共2页
会议地点 Wuyishan(CN)
作者
Yong Wang; Xiaorong Zhu; Changying Ji;
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作者单位

College of Engineering, Nanjing Agricultural University, Nanjing, China, 210031;

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会议组织
原文格式 PDF
正文语种 eng
中图分类电子技术、计算机技术在农业上的应用;
关键词
cotton recognition; image processing; freeman chain coding;

机译：棉花识别；图像处理；弗里曼链编码;

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MACHINE VISION BASED COTTON RECOGNITION FOR COTTON HARVESTING ROBOT

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