| 基于机器视觉的种薯自动切块机设计 |
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| 引用本文： | 邢作常,田素博,刘思瑶,白雪卫,张祖立.基于机器视觉的种薯自动切块机设计[J].农机化研究,2016(10):69-73. |
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| 作者姓名： | 邢作常 田素博 刘思瑶 白雪卫 张祖立 |
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| 作者单位： | 沈阳农业大学工程学院,沈阳,110161 |
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| 摘 要： | 现阶段中国市场没有成熟的种薯切块机,薯农主要依靠手工切块。其主要原因是种薯切削需要控制切削位置以保留薯芽的顶端优势,普通机器不能识别薯芽,并控制切刀切削方位。为此,使用数字图像处理技术,实现了薯芽及其位姿的实时识别,开发了相应的控制系统,设计了基于机器视觉的薯种自动切块机。试验表明:薯芽识别正确率达100%,位姿识别正确率达98.5%,耗时107.431ms,满足使用要求。
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| 关 键 词： | 种薯切块机 机器视觉 位姿判断 薯芽识别 |
Design of Automatic Cutter for Potato Used as Seeds Based on Machine Vision |
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| Abstract: | There is not mature cutter for potato used as seeds in Chinese market at the present .Potato farmers rely mainly on manual cutting .The main reason is that potato cutting used as a seed need to control the cutting position to keep pota-to bud advantage , ordinary machine cannot identify potato bud , and controls the cutter cutting position .Using image pro-cessing technology , the potato bud and its posture real-time identification is realized , the corresponding control system is developed , and the automatic cutting machine is designed based on machine vision .Tests show that potato bud recogni-tion accuracy reaches 100%, posture recognition accuracy reaches 98 .5%, takes 107 .431 ms .it meets the require-ment. |
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| Keywords: | potato cutter machine vision posture judgment potato bud identification |
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