| 基于机器视觉的马铃薯自动分级与缺陷检测系统设计 |
| |
| 引用本文： | 刘浩,贺福强,李荣隆,平安,罗红.基于机器视觉的马铃薯自动分级与缺陷检测系统设计[J].农机化研究,2022,44(1):73-78. |
| |
| 作者姓名： | 刘浩 贺福强 李荣隆 平安 罗红 |
| |
| 作者单位： | 贵州大学 机械工程学院, 贵阳 550025 |
| |
| 基金项目： | 贵州省科技计划项目([2017]2595);贵州省普通高等学校工程研究中心建设项目([2017]015)。 |
| |
| 摘 要： | 针对现有的马铃薯分级和检测需要大量的人力物力、检测效率不高,设计了基于机器视觉的马铃薯自动分级与缺陷检测系统.工作时,自动分级系统对大量马铃薯进行快速表皮去泥和分级工作,得到3种规格的马铃薯并逐个运输到缺陷检测系统进行马铃薯缺陷的识别检测;通过多种图像处理算法对比分析,以平均值法灰度化、中值滤波处理、大津法分割等方法得...
|
| 关 键 词： | 马铃薯 自动分级 缺陷检测 机器视觉 |
Design of Potato Automatic Grading and Defect Detection System Based on Machine Vision |
| |
| Liu Hao,He Fuqiang,Li Ronglong,Ping An,Luo Hong.Design of Potato Automatic Grading and Defect Detection System Based on Machine Vision[J].Journal of Agricultural Mechanization Research,2022,44(1):73-78. |
| |
| Authors: | Liu Hao He Fuqiang Li Ronglong Ping An Luo Hong |
| |
| Institution: | (College of Mechanical Engineering,Guizhou University,Guiyang 550025,China) |
| |
| Abstract: | The existing potato grading and testing needs a lot of manpower and material resources,and the detection efficiency is not high,so the design of automatic potato grading and defect detection system based on machine vision is proposed.A large number of potatoes were rapidly desilted and graded by the automatic grading system,and three potato specifications were obtained and transported to the defect detection system one by one for identification and detection of potato defects.Through the comparative analysis of various image processing algorithms,it is concluded that the best potato image can be obtained by means of mean value graying,median filter processing and OTSU segmentation,and the target image can be well segmined with the background image,which improves the accuracy and efficiency of defect detection.RGB color model is adopted to analyze potato image.All defect points in the image can be obtained by comparing the threshold value set by the potato image with the standard deviation value,and the connected region of the defect part of the potato image can be marked.1000 test samples were selected for systematic and manual grading and testing.The results show that the automatic grading system has high accuracy in grading potatoes of different sizes.The accuracy of defect detection system is very high,which verifies the feasibility of potato quick detection system. |
| |
| Keywords: | potato automatic grading defect detection machine vision |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
