S.GNANAPRIYA GP, P. Esakkipriya, R. Kavipriya, C. Sangeethakamatchi, M. Sandhya
{"title":"利用颜色和大小特征识别有机水果","authors":"S.GNANAPRIYA GP, P. Esakkipriya, R. Kavipriya, C. Sangeethakamatchi, M. Sandhya","doi":"10.1109/TIAR.2017.8273707","DOIUrl":null,"url":null,"abstract":"The proposed approach to organic food assurance uses image features like size and color as basic features to classify the fruit as no two objects in the real world will have the same size and color. Color moments is used to extract the color features from the image and sobel edge detection and region props function is used to extraxt the size information. From the extracted values a fruit is categorized as either organic or non organic based on the fixed threshold for color and size.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"46 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Identification of organic fruits using color and size features\",\"authors\":\"S.GNANAPRIYA GP, P. Esakkipriya, R. Kavipriya, C. Sangeethakamatchi, M. Sandhya\",\"doi\":\"10.1109/TIAR.2017.8273707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proposed approach to organic food assurance uses image features like size and color as basic features to classify the fruit as no two objects in the real world will have the same size and color. Color moments is used to extract the color features from the image and sobel edge detection and region props function is used to extraxt the size information. From the extracted values a fruit is categorized as either organic or non organic based on the fixed threshold for color and size.\",\"PeriodicalId\":149469,\"journal\":{\"name\":\"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)\",\"volume\":\"46 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TIAR.2017.8273707\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TIAR.2017.8273707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of organic fruits using color and size features
The proposed approach to organic food assurance uses image features like size and color as basic features to classify the fruit as no two objects in the real world will have the same size and color. Color moments is used to extract the color features from the image and sobel edge detection and region props function is used to extraxt the size information. From the extracted values a fruit is categorized as either organic or non organic based on the fixed threshold for color and size.