首页 | 本学科首页   官方微博 | 高级检索  
     

基于图像评价的无核白葡萄成像系统构建
引用本文:李泽平,李雪莲,周军,郭俊先,黄华,郭阳,张亮亮.基于图像评价的无核白葡萄成像系统构建[J].食品与机械,2021,37(1):161-164.
作者姓名:李泽平  李雪莲  周军  郭俊先  黄华  郭阳  张亮亮
作者单位:新疆农业大学机电工程学院;新疆农业大学数理学院
基金项目:新疆维吾尔自治区科技厅基金项目(编号:2019D01A52)。
摘    要:针对无核白葡萄图像的获取问题,在自制的采集平台上充分考虑了背景纸颜色、光源结构以及打光模式等因素对图像的影响,并采用主客观综合评价图像的方法对比确定各因素的最佳取值水平。结果表明,无核白葡萄机器视觉成像系统的最佳因素取值为:背景纸为白色背景纸,光源结构为条形光源-60°,打光模式为明场模式,此时的图像质量最好。

关 键 词:无核白葡萄  图像采集  图像质量评价  背景纸  光源
收稿时间:2020/6/13 0:00:00

Determination of the imaging system for seedless white grape based on image evaluation
LIZeping,LIXuelian,ZHOUJun,GUOJunxian,HUANGHu,GUOYang,ZHANGLiangliang.Determination of the imaging system for seedless white grape based on image evaluation[J].Food and Machinery,2021,37(1):161-164.
Authors:LIZeping  LIXuelian  ZHOUJun  GUOJunxian  HUANGHu  GUOYang  ZHANGLiangliang
Affiliation:(College of Mechanical and Electronic Engineering,Xinjiang Agricultural University,Urumqi,Xinjiang 830052,China;College of Mathematic and Physics,Xinjiang Agricultural University,Urumqi,Xinjiang 830052,China)
Abstract:In order to obtain the image of seedless white grape,the influence of background paper color,light source structure and lighting mode on the image was fully considered on the selfmade acquisition platform.Firstly,the optimal level of each factor is determined by single factor test,then the acquisition platform is optimized by orthogonal test,and finally the optimal value level of each factor is determined by subjective and objective comprehensive evaluation image method.The results showed that the best values of the machine vision imaging system of seedless white grape were:the background paper is white,the light source structure is strip light source-60°,the lighting mode is open field mode.Under the conditions,the image quality is the best.
Keywords:seedless grape  image acquisition  image quality evaluation  background paper  light source
本文献已被 维普 等数据库收录!
点击此处可从《食品与机械》浏览原始摘要信息
点击此处可从《食品与机械》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号