{"title":"非均匀光照条形码的二值化","authors":"Zhikui Duan, Yongxiang Zhang, Shiren Li","doi":"10.1145/3220511.3220520","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel binarization approach, appropriate for nonuniform illumination barcode. The proposed method firstly clusters pixels of the image into two categories, which is black and white. Next, the variations of these two parts are calculated and binarization is conducted in the part with less variation. Finally, the uneven illumination part is established and recovered in the part with greater variation through both gray-value information and spatial information. The experimental results show that the proposed approach is effective for the uneven illumination barcode.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Binarization of Nonuniform Illumination Barcode\",\"authors\":\"Zhikui Duan, Yongxiang Zhang, Shiren Li\",\"doi\":\"10.1145/3220511.3220520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a novel binarization approach, appropriate for nonuniform illumination barcode. The proposed method firstly clusters pixels of the image into two categories, which is black and white. Next, the variations of these two parts are calculated and binarization is conducted in the part with less variation. Finally, the uneven illumination part is established and recovered in the part with greater variation through both gray-value information and spatial information. The experimental results show that the proposed approach is effective for the uneven illumination barcode.\",\"PeriodicalId\":177319,\"journal\":{\"name\":\"Proceedings of the International Conference on Machine Vision and Applications\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Machine Vision and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3220511.3220520\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Machine Vision and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3220511.3220520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a novel binarization approach, appropriate for nonuniform illumination barcode. The proposed method firstly clusters pixels of the image into two categories, which is black and white. Next, the variations of these two parts are calculated and binarization is conducted in the part with less variation. Finally, the uneven illumination part is established and recovered in the part with greater variation through both gray-value information and spatial information. The experimental results show that the proposed approach is effective for the uneven illumination barcode.