浙江农业学报

• 生物系统工程 • 上一篇    下一篇

脱囊衣橘片自动分拣机器视觉算法研究

  

  1. (1 浙江师范大学 化学与生命科学院,浙江 金华 321004; 2浙江省农业科学院 食品科学研究所/浙江省果蔬保鲜与加工技术研究重点实验室,浙江 杭州 310021)
  • 出版日期:2015-12-25 发布日期:2016-01-05

Research on machine vision algorithm for automatic sorting of membrane\|removed mandarin segments

  1. (1 College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321004, China; 2 Zhejiang Key Laboratory of Fruit and Vegetables Processing Technology/Institute of Food Science, Zhejiang Academy of Agricultural Science,  Hangzhou 310021, China)
  • Online:2015-12-25 Published:2016-01-05

摘要: 柑橘罐头生产过程中,脱囊衣后橘片存在囊衣、橘核残留,橘片破损等缺陷,影响产品品质。目前,生产中都采用人工分拣剔除,试验针对以上3种缺陷橘片设计了基于LabVIEW的机器视觉快速检测算法,并构建试验平台,检测算法准确率与效率。结果表明,采用该算法检测准确率可达到(99.1±0.5)%,平均耗时(17±5) ms,可实现每秒(64±19)片的检测速度。

关键词: LabVIEW, 机器视觉, 自动分拣算法, 脱囊衣橘片

Abstract: During the production of mandarin cans, some membrane\|removed mandarin segments have defects such as membrane residues, seed residues or segment damage, which would affect the quality of products. Currently, factories adopt manual inspection to reject defective segments, which increased the cost and may cause hygiene problems. Based on LabVIEW, a machine vision program for the automatic sorting of membrane\|removed mandarin segments was designed. An experimental platform was built with color GigE camera, white ring light and red flat light, to test inspection accuracy and duration. It was shown that the accuracy of inspection program reached (99.1±0.5)%, and the average time consumption was (17±5) ms. The inspect speed was able to achieve (64±19) pieces per second.

Key words: LabVIEW, machine vision, automatic sorting algorithm, membrane\, removed mandarin segments