基于链码和新相关性的图像检索

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI:10.1109/ICICISYS.2010.5658725

Jianfeng Wang, Xiaorong Zhao

{"title":"基于链码和新相关性的图像检索","authors":"Jianfeng Wang, Xiaorong Zhao","doi":"10.1109/ICICISYS.2010.5658725","DOIUrl":null,"url":null,"abstract":"In this paper, we propose to introduce an additional rotational correlation test to formulate a combined content similarity detection. We show that, with the same content based image retrieval algorithm, adding rotational correlation and chain code to the existing operational process can improve the performance of content based image retrieval significantly, the experimental results show the superiority of the proposed algorithm in terms of image retrieval precision.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image retrieval based on chain code and new correlation\",\"authors\":\"Jianfeng Wang, Xiaorong Zhao\",\"doi\":\"10.1109/ICICISYS.2010.5658725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose to introduce an additional rotational correlation test to formulate a combined content similarity detection. We show that, with the same content based image retrieval algorithm, adding rotational correlation and chain code to the existing operational process can improve the performance of content based image retrieval significantly, the experimental results show the superiority of the proposed algorithm in terms of image retrieval precision.\",\"PeriodicalId\":339711,\"journal\":{\"name\":\"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICISYS.2010.5658725\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICISYS.2010.5658725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

在本文中，我们建议引入一个额外的旋转相关测试来制定一个组合的内容相似度检测。实验表明，在相同的基于内容的图像检索算法下，在现有的操作过程中加入旋转相关和链码，可以显著提高基于内容的图像检索的性能，实验结果表明，本文算法在图像检索精度方面具有优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Image retrieval based on chain code and new correlation

In this paper, we propose to introduce an additional rotational correlation test to formulate a combined content similarity detection. We show that, with the same content based image retrieval algorithm, adding rotational correlation and chain code to the existing operational process can improve the performance of content based image retrieval significantly, the experimental results show the superiority of the proposed algorithm in terms of image retrieval precision.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems

自引率

0.00%

发文量