基于改进SIFT的图像配准算法

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) Pub Date : 2023-05-12 DOI:10.1109/ICECAI58670.2023.10176776

Xinyang Li, Siyang Li

{"title":"基于改进SIFT的图像配准算法","authors":"Xinyang Li, Siyang Li","doi":"10.1109/ICECAI58670.2023.10176776","DOIUrl":null,"url":null,"abstract":"A method is proposed to combine the Shi-Tomasi algorithm with the SFT (Scale-Invariant Feature Transform) algorithm for image registration, aiming to address the non-real-time issue of the SIFT algorithm. The method utilizes the Shi-Tomasi algorithm to extract feature points, and the more efficient PROSAC algorithm is employed to replace the traditional RANSAC algorithm for removing mismatches. Experimental results demonstrate that the proposed algorithm effectively improves matching accuracy while reducing the image matching time by 66.5%.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Image Registration Algorithm Based on Improved SIFT\",\"authors\":\"Xinyang Li, Siyang Li\",\"doi\":\"10.1109/ICECAI58670.2023.10176776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method is proposed to combine the Shi-Tomasi algorithm with the SFT (Scale-Invariant Feature Transform) algorithm for image registration, aiming to address the non-real-time issue of the SIFT algorithm. The method utilizes the Shi-Tomasi algorithm to extract feature points, and the more efficient PROSAC algorithm is employed to replace the traditional RANSAC algorithm for removing mismatches. Experimental results demonstrate that the proposed algorithm effectively improves matching accuracy while reducing the image matching time by 66.5%.\",\"PeriodicalId\":189631,\"journal\":{\"name\":\"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)\",\"volume\":\"109 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECAI58670.2023.10176776\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECAI58670.2023.10176776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

针对SIFT算法的非实时性问题，提出了一种将Shi-Tomasi算法与SFT (Scale-Invariant Feature Transform)算法相结合的图像配准方法。该方法利用Shi-Tomasi算法提取特征点，并用效率更高的PROSAC算法代替传统的RANSAC算法去除不匹配。实验结果表明，该算法有效地提高了匹配精度，同时将图像匹配时间缩短了66.5%。

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 Registration Algorithm Based on Improved SIFT

A method is proposed to combine the Shi-Tomasi algorithm with the SFT (Scale-Invariant Feature Transform) algorithm for image registration, aiming to address the non-real-time issue of the SIFT algorithm. The method utilizes the Shi-Tomasi algorithm to extract feature points, and the more efficient PROSAC algorithm is employed to replace the traditional RANSAC algorithm for removing mismatches. Experimental results demonstrate that the proposed algorithm effectively improves matching accuracy while reducing the image matching time by 66.5%.

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

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)

自引率

0.00%

发文量