{"title":"基于内容的图像检索中的掩码旋转不变性方法","authors":"Nawal Chifa, A. Badri, Y. Ruichek","doi":"10.1145/3323933.3324066","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient method for the implementation of an image search system invariant to rotation. This method consists of applying circular masks of different size on the image, and extracting the color descriptor from the visible region on the mask, and then combining a texture descriptor for more precision. In our work, we have used the color histogram and histogram of local binary patterns. The experimentation of this approach gave excellent results for color rotation-invariant image retrieval.","PeriodicalId":137904,"journal":{"name":"Proceedings of the 2019 5th International Conference on Computer and Technology Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Rotation-Invariant Approach Using Mask to Content-Based Image Retrieval\",\"authors\":\"Nawal Chifa, A. Badri, Y. Ruichek\",\"doi\":\"10.1145/3323933.3324066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an efficient method for the implementation of an image search system invariant to rotation. This method consists of applying circular masks of different size on the image, and extracting the color descriptor from the visible region on the mask, and then combining a texture descriptor for more precision. In our work, we have used the color histogram and histogram of local binary patterns. The experimentation of this approach gave excellent results for color rotation-invariant image retrieval.\",\"PeriodicalId\":137904,\"journal\":{\"name\":\"Proceedings of the 2019 5th International Conference on Computer and Technology Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 5th International Conference on Computer and Technology Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3323933.3324066\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 5th International Conference on Computer and Technology Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3323933.3324066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rotation-Invariant Approach Using Mask to Content-Based Image Retrieval
This paper presents an efficient method for the implementation of an image search system invariant to rotation. This method consists of applying circular masks of different size on the image, and extracting the color descriptor from the visible region on the mask, and then combining a texture descriptor for more precision. In our work, we have used the color histogram and histogram of local binary patterns. The experimentation of this approach gave excellent results for color rotation-invariant image retrieval.