{"title":"基于SIFT特征匹配的水果识别方法","authors":"W. Song, Hong Guo, Yan Wang","doi":"10.1109/AICI.2009.484","DOIUrl":null,"url":null,"abstract":"SIFT (Scale Invariant Feature Transform) used in fruits recognition presents a characteristics matching algorith- m according to fruits images. The algorithm uses SIFT chara- cteristics as matching feature, then introduces Euclidean dis- tance as the similarity metrics of image matching, and uses a method of setting a threshold value to delete the false match- ing points. The experimental results prove that the algorithm can effectively solve the problem of fruits recognition and mat- ching with translation, rotation, scaling, and partial occlusion.","PeriodicalId":289808,"journal":{"name":"2009 International Conference on Artificial Intelligence and Computational Intelligence","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A Method of Fruits Recognition Based on SIFT Characteristics Matching\",\"authors\":\"W. Song, Hong Guo, Yan Wang\",\"doi\":\"10.1109/AICI.2009.484\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SIFT (Scale Invariant Feature Transform) used in fruits recognition presents a characteristics matching algorith- m according to fruits images. The algorithm uses SIFT chara- cteristics as matching feature, then introduces Euclidean dis- tance as the similarity metrics of image matching, and uses a method of setting a threshold value to delete the false match- ing points. The experimental results prove that the algorithm can effectively solve the problem of fruits recognition and mat- ching with translation, rotation, scaling, and partial occlusion.\",\"PeriodicalId\":289808,\"journal\":{\"name\":\"2009 International Conference on Artificial Intelligence and Computational Intelligence\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Artificial Intelligence and Computational Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AICI.2009.484\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Artificial Intelligence and Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICI.2009.484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Method of Fruits Recognition Based on SIFT Characteristics Matching
SIFT (Scale Invariant Feature Transform) used in fruits recognition presents a characteristics matching algorith- m according to fruits images. The algorithm uses SIFT chara- cteristics as matching feature, then introduces Euclidean dis- tance as the similarity metrics of image matching, and uses a method of setting a threshold value to delete the false match- ing points. The experimental results prove that the algorithm can effectively solve the problem of fruits recognition and mat- ching with translation, rotation, scaling, and partial occlusion.