基于机器视觉的种薯自动切块机设计

Design of Automatic Cutter for Potato Used as Seeds Based on Machine Vision

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。

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 potato bud advantage,ordinary machine cannot identify potato bud,and controls the cutter cutting position. Using image processing 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 recognition accuracy reaches 100%,posture recognition accuracy reaches 98. 5%,takes 107. 431 ms. it meets the requirement.