{"title":"一种基于颜色空间特征的图像检索方法","authors":"Haishan Chen, Xu Han, Bochao Hu","doi":"10.1109/ISCSCT.2008.97","DOIUrl":null,"url":null,"abstract":"This paper presents a method for expressing color features of images through color hue histograms, according to the distribution characteristics of image color space. In this method, the spatial features of colors are described in terms of three independent components of the HSV color space, with rotation, scaling and translation invariant features. Tests have proved that favorable retrieval effects were achieved with this method in similarity retrieval of color images, and the defect that color histograms and color moment methods are not accurate enough to express the spatial positions of image colors was well overcome.","PeriodicalId":228533,"journal":{"name":"2008 International Symposium on Computer Science and Computational Technology","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Image Retrieval Method Based on Spatial Features of Colors\",\"authors\":\"Haishan Chen, Xu Han, Bochao Hu\",\"doi\":\"10.1109/ISCSCT.2008.97\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method for expressing color features of images through color hue histograms, according to the distribution characteristics of image color space. In this method, the spatial features of colors are described in terms of three independent components of the HSV color space, with rotation, scaling and translation invariant features. Tests have proved that favorable retrieval effects were achieved with this method in similarity retrieval of color images, and the defect that color histograms and color moment methods are not accurate enough to express the spatial positions of image colors was well overcome.\",\"PeriodicalId\":228533,\"journal\":{\"name\":\"2008 International Symposium on Computer Science and Computational Technology\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Computer Science and Computational Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCSCT.2008.97\",\"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 Symposium on Computer Science and Computational Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCSCT.2008.97","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Image Retrieval Method Based on Spatial Features of Colors
This paper presents a method for expressing color features of images through color hue histograms, according to the distribution characteristics of image color space. In this method, the spatial features of colors are described in terms of three independent components of the HSV color space, with rotation, scaling and translation invariant features. Tests have proved that favorable retrieval effects were achieved with this method in similarity retrieval of color images, and the defect that color histograms and color moment methods are not accurate enough to express the spatial positions of image colors was well overcome.