{"title":"基于金字塔的归一化互相关图像匹配的高效实现","authors":"Y. Fouda, K. Ragab","doi":"10.1109/ICAWST.2013.6765416","DOIUrl":null,"url":null,"abstract":"Normalized Cross-Correlation (NCC) image matching algorithm based on gray correlation provides accurate results however it consumes a significant time for large amount of calculations. The main contribution of this paper is implementing the NCC image matching algorithm in parallel. Moreover, it proposes and implements the NCCP based on pyramid to reduce the time.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"22 1","pages":"98-103"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"An efficient implementation of normalized cross-correlation image matching based on pyramid\",\"authors\":\"Y. Fouda, K. Ragab\",\"doi\":\"10.1109/ICAWST.2013.6765416\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Normalized Cross-Correlation (NCC) image matching algorithm based on gray correlation provides accurate results however it consumes a significant time for large amount of calculations. The main contribution of this paper is implementing the NCC image matching algorithm in parallel. Moreover, it proposes and implements the NCCP based on pyramid to reduce the time.\",\"PeriodicalId\":68697,\"journal\":{\"name\":\"炎黄地理\",\"volume\":\"22 1\",\"pages\":\"98-103\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"炎黄地理\",\"FirstCategoryId\":\"1089\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAWST.2013.6765416\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"炎黄地理","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.1109/ICAWST.2013.6765416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An efficient implementation of normalized cross-correlation image matching based on pyramid
Normalized Cross-Correlation (NCC) image matching algorithm based on gray correlation provides accurate results however it consumes a significant time for large amount of calculations. The main contribution of this paper is implementing the NCC image matching algorithm in parallel. Moreover, it proposes and implements the NCCP based on pyramid to reduce the time.
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