Thidarat Pinthong, M. Ketcham, Thittaporn Ganokratanaa, Patiyuth Pramkeaw, Narumol Chumuang
{"title":"Globally Harmonized System Label detection using Color Segmentation","authors":"Thidarat Pinthong, M. Ketcham, Thittaporn Ganokratanaa, Patiyuth Pramkeaw, Narumol Chumuang","doi":"10.1109/ICCI57424.2023.10112447","DOIUrl":null,"url":null,"abstract":"This paper presents an approach for color detection and segmentation based on Image Processing Process to retrieve candidate regions of GHS Sign. For color classification, where the dimension of each vector can be extended by a group of neighboring pixels. The experimental results are highly accurate and robust for our testing database, where samples are recorded on various states of environment. But in the meantime, it was found that the error processing. It is an image that looks asymmetrical image. It is impossible to detect the symbol GHS.","PeriodicalId":112409,"journal":{"name":"2023 IEEE International Conference on Cybernetics and Innovations (ICCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Cybernetics and Innovations (ICCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCI57424.2023.10112447","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
This paper presents an approach for color detection and segmentation based on Image Processing Process to retrieve candidate regions of GHS Sign. For color classification, where the dimension of each vector can be extended by a group of neighboring pixels. The experimental results are highly accurate and robust for our testing database, where samples are recorded on various states of environment. But in the meantime, it was found that the error processing. It is an image that looks asymmetrical image. It is impossible to detect the symbol GHS.