{"title":"基于颜色的图像检索研究与系统实现","authors":"Zongfang Ma, Yongmei Cheng, Pang Quan","doi":"10.1109/ICCEE.2008.189","DOIUrl":null,"url":null,"abstract":"To quickly index and retrieval the image of interest, the content-based image retrieval arose as a promising technique. Some CBIR algorithms based on color features are proposed and this paper also presents the design framework of a CBIR system and a prototype system implemented by author. Some test experiments are conducted on a fire image database with good precision and recall.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Research on Color-Based Image Retrieval and Implement of the System\",\"authors\":\"Zongfang Ma, Yongmei Cheng, Pang Quan\",\"doi\":\"10.1109/ICCEE.2008.189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To quickly index and retrieval the image of interest, the content-based image retrieval arose as a promising technique. Some CBIR algorithms based on color features are proposed and this paper also presents the design framework of a CBIR system and a prototype system implemented by author. Some test experiments are conducted on a fire image database with good precision and recall.\",\"PeriodicalId\":365473,\"journal\":{\"name\":\"2008 International Conference on Computer and Electrical Engineering\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Computer and Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEE.2008.189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Computer and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEE.2008.189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Color-Based Image Retrieval and Implement of the System
To quickly index and retrieval the image of interest, the content-based image retrieval arose as a promising technique. Some CBIR algorithms based on color features are proposed and this paper also presents the design framework of a CBIR system and a prototype system implemented by author. Some test experiments are conducted on a fire image database with good precision and recall.