K. Jeddisaravi, Reza Javanmard Alitappeh, Sasan Parsafar, Leila Eslami
{"title":"An Application of Image Processing in Rug Industry","authors":"K. Jeddisaravi, Reza Javanmard Alitappeh, Sasan Parsafar, Leila Eslami","doi":"10.1109/MVIP49855.2020.9116920","DOIUrl":null,"url":null,"abstract":"Image processing is a common solution in automation systems include many industrial productions. In this paper, we applied image processing techniques in a real problem in rugs industry, which has a considerable market in the world. Thus, in our proposed fringing tool, an automatic approach finds the rug in the image first and add fringes to the rug considering different condition i.e. direction and orientation of the rug, perspective etc. This system helps the company/customer to give/receive a visual look to the service before implementing/receiving that, which reduce the cost and time considerably. Implementation results testify that our approach is practical in industry with a high performance and also visual tests show customer satisfaction.","PeriodicalId":255375,"journal":{"name":"2020 International Conference on Machine Vision and Image Processing (MVIP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Machine Vision and Image Processing (MVIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MVIP49855.2020.9116920","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
Image processing is a common solution in automation systems include many industrial productions. In this paper, we applied image processing techniques in a real problem in rugs industry, which has a considerable market in the world. Thus, in our proposed fringing tool, an automatic approach finds the rug in the image first and add fringes to the rug considering different condition i.e. direction and orientation of the rug, perspective etc. This system helps the company/customer to give/receive a visual look to the service before implementing/receiving that, which reduce the cost and time considerably. Implementation results testify that our approach is practical in industry with a high performance and also visual tests show customer satisfaction.