{"title":"基于边缘关系直方图的逐草图查询图像检索","authors":"Y. Kumagai, T. Arikawa","doi":"10.1587/TRANSINF.E96.D.340","DOIUrl":null,"url":null,"abstract":"In the Query-by-sketch image retrieval, feature extraction method is important, because the retrieval result depend on image feature. In this paper, we propose the query-by-sketch image retrieval using Edge Relation Histogram (ERH) as global and local feature. ERH focuses on the relation among edge pixels, and ERH is shift-, scale-, rotation- and symmetry-invariant feature. This method was applied to 20,000 images in Corel Photo Gallery. Experimental results show that the proposed method is effective in retrieving images.","PeriodicalId":295384,"journal":{"name":"IAPR International Workshop on Machine Vision Applications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Query-by-Sketch Image Retrieval Using Edge Relation Histogram\",\"authors\":\"Y. Kumagai, T. Arikawa\",\"doi\":\"10.1587/TRANSINF.E96.D.340\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the Query-by-sketch image retrieval, feature extraction method is important, because the retrieval result depend on image feature. In this paper, we propose the query-by-sketch image retrieval using Edge Relation Histogram (ERH) as global and local feature. ERH focuses on the relation among edge pixels, and ERH is shift-, scale-, rotation- and symmetry-invariant feature. This method was applied to 20,000 images in Corel Photo Gallery. Experimental results show that the proposed method is effective in retrieving images.\",\"PeriodicalId\":295384,\"journal\":{\"name\":\"IAPR International Workshop on Machine Vision Applications\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IAPR International Workshop on Machine Vision Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1587/TRANSINF.E96.D.340\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IAPR International Workshop on Machine Vision Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1587/TRANSINF.E96.D.340","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Query-by-Sketch Image Retrieval Using Edge Relation Histogram
In the Query-by-sketch image retrieval, feature extraction method is important, because the retrieval result depend on image feature. In this paper, we propose the query-by-sketch image retrieval using Edge Relation Histogram (ERH) as global and local feature. ERH focuses on the relation among edge pixels, and ERH is shift-, scale-, rotation- and symmetry-invariant feature. This method was applied to 20,000 images in Corel Photo Gallery. Experimental results show that the proposed method is effective in retrieving images.
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