摘要
针对水果筛选中自动化程度较低的问题,设计并实现了一种基于OpenMV的水果筛选系统,将OpenMV机器视觉模块和计算机相结合.通过摄像头获取水果图像,并对图像进行水果模板匹配及特征提取和分析,实现水果的品种、尺寸和成熟度筛选.实验结果表明,系统能广泛应用于常见水果品种,且具有较高的筛选准确率,适合推广应用.
Aiming at the problem of low automation in fruit screening,a fruit screening system based on OpenMV was designed and implemented,which combined OpenMV machine vision module and computer.The image of fruit was obtained by camera,and the image was matched with the template of fruit,and the feature extraction and analysis were carried out to achieve the selection of fruit variety,size and maturity.Experimental results showed that the system can be widely used in common fruit varieties,and had a high screening accuracy,suitable for promotion and application.
作者
骆绍烨
张长佳
周超
蔡荣贵
LUO Shao-ye;ZHANG Chang-jia;ZHOU Chao;CAI Rong-gui(School of Mechatronics and Information Engineering,Putian University,Putian 351100,Fujian,China)
出处
《兰州文理学院学报（自然科学版）》
2022年第1期54-58,共5页
Journal of Lanzhou University of Arts and Science(Natural Sciences)
基金
福建省自然科学基金面上项目(2020J01924)
莆田市科技计划项目(2018GP2005)
福建省中青年教师教育科研项目(JAT190573)
莆田学院横向项目(2021AHX154(L))。
作者简介
骆绍烨(1982-),男,福建仙游人,副教授,硕士,研究方向:计算机视觉、文本分析等.E-mail:Lsy123@163.com。
