{"title":"基于RGB颜色相关性的塑料分类","authors":"Witaya Srigul, Prajuab Inrawong, M. Kupimai","doi":"10.1109/ECTICON.2016.7561304","DOIUrl":null,"url":null,"abstract":"Nowadays, the uses of reusable materials can be seen everywhere. Plastic material is one of the most popular recycled products, particularly plastic bottles made of PET (Polyethylene Terephthalate) and non-PET. Classification of plastic bottle types is necessary and is the first step for plastic bottles recycling processes. Thus, this paper presents multiple correlation method for classifying types of plastic bottles, PET and non-PET bottle. Correlation of each plastic bottle image was calculated from all colours (RGB) histogram of plastic bottle images. The test used 200 images of plastic bottle, 100 images for PET bottles and 100 images for non-PET bottles. Test results showed that the accuracies of classification of the system is 93.33%.","PeriodicalId":200661,"journal":{"name":"2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Plastic classification base on correlation of RGB color\",\"authors\":\"Witaya Srigul, Prajuab Inrawong, M. Kupimai\",\"doi\":\"10.1109/ECTICON.2016.7561304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, the uses of reusable materials can be seen everywhere. Plastic material is one of the most popular recycled products, particularly plastic bottles made of PET (Polyethylene Terephthalate) and non-PET. Classification of plastic bottle types is necessary and is the first step for plastic bottles recycling processes. Thus, this paper presents multiple correlation method for classifying types of plastic bottles, PET and non-PET bottle. Correlation of each plastic bottle image was calculated from all colours (RGB) histogram of plastic bottle images. The test used 200 images of plastic bottle, 100 images for PET bottles and 100 images for non-PET bottles. Test results showed that the accuracies of classification of the system is 93.33%.\",\"PeriodicalId\":200661,\"journal\":{\"name\":\"2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)\",\"volume\":\"157 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECTICON.2016.7561304\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECTICON.2016.7561304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Plastic classification base on correlation of RGB color
Nowadays, the uses of reusable materials can be seen everywhere. Plastic material is one of the most popular recycled products, particularly plastic bottles made of PET (Polyethylene Terephthalate) and non-PET. Classification of plastic bottle types is necessary and is the first step for plastic bottles recycling processes. Thus, this paper presents multiple correlation method for classifying types of plastic bottles, PET and non-PET bottle. Correlation of each plastic bottle image was calculated from all colours (RGB) histogram of plastic bottle images. The test used 200 images of plastic bottle, 100 images for PET bottles and 100 images for non-PET bottles. Test results showed that the accuracies of classification of the system is 93.33%.