S. Sotirov, S. Zhelyazkov, M. Marudova, G. Zsivanovits, Dimitar M. Tokamkov
{"title":"嵌入式水果图像处理系统","authors":"S. Sotirov, S. Zhelyazkov, M. Marudova, G. Zsivanovits, Dimitar M. Tokamkov","doi":"10.1109/ET50336.2020.9238244","DOIUrl":null,"url":null,"abstract":"In the present study, a computer visual system based on image processing was developed. Its application in the analysis of the quality of cherries stored for 3 weeks was shown. The developed color filtering of the images and the presentation of the object color as a RGB histogram allow detection of spoiled zones and monitoring of color changes.","PeriodicalId":178356,"journal":{"name":"2020 XXIX International Scientific Conference Electronics (ET)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Embedded system for fruit image processing\",\"authors\":\"S. Sotirov, S. Zhelyazkov, M. Marudova, G. Zsivanovits, Dimitar M. Tokamkov\",\"doi\":\"10.1109/ET50336.2020.9238244\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the present study, a computer visual system based on image processing was developed. Its application in the analysis of the quality of cherries stored for 3 weeks was shown. The developed color filtering of the images and the presentation of the object color as a RGB histogram allow detection of spoiled zones and monitoring of color changes.\",\"PeriodicalId\":178356,\"journal\":{\"name\":\"2020 XXIX International Scientific Conference Electronics (ET)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 XXIX International Scientific Conference Electronics (ET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ET50336.2020.9238244\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 XXIX International Scientific Conference Electronics (ET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ET50336.2020.9238244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In the present study, a computer visual system based on image processing was developed. Its application in the analysis of the quality of cherries stored for 3 weeks was shown. The developed color filtering of the images and the presentation of the object color as a RGB histogram allow detection of spoiled zones and monitoring of color changes.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
