Intelligent Image Enhancement Method for Micro Manipulator Industrial Robot

Jingyu Chen
{"title":"Intelligent Image Enhancement Method for Micro Manipulator Industrial Robot","authors":"Jingyu Chen","doi":"10.1145/3501409.3501517","DOIUrl":null,"url":null,"abstract":"In order to improve the precision of micro-manipulating industrial robots working in complex background, an image intelligent enhancement method is proposed in this paper. Based on the structure of micromanipulation micro- vision system, a weighted guided filtering Retinex algorithm is used for image enhancement in low illumination environment. Moreover, dynamic range adjustment is set up to realize intelligent enhancement. Experimental results show that the proposed method is superior to the contrast method in that the average image enhancement is higher than 80, standard deviation is higher than 70 and entropy is higher than 7.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3501409.3501517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In order to improve the precision of micro-manipulating industrial robots working in complex background, an image intelligent enhancement method is proposed in this paper. Based on the structure of micromanipulation micro- vision system, a weighted guided filtering Retinex algorithm is used for image enhancement in low illumination environment. Moreover, dynamic range adjustment is set up to realize intelligent enhancement. Experimental results show that the proposed method is superior to the contrast method in that the average image enhancement is higher than 80, standard deviation is higher than 70 and entropy is higher than 7.
微机械臂工业机器人智能图像增强方法
为了提高微操纵工业机器人在复杂背景下工作的精度,提出了一种图像智能增强方法。基于微操作微视觉系统的结构,提出了一种加权引导滤波Retinex算法,用于低照度环境下的图像增强。并设置动态范围调节功能,实现智能增强。实验结果表明,该方法的平均图像增强效果大于80,标准差大于70,熵值大于7,优于对比度法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信