{"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.