{"title":"基于边缘轮廓的模板匹配算法研究与应用","authors":"Zhuoxin Liu, Ji Zhang, Kaibin Chu","doi":"10.1117/12.2667677","DOIUrl":null,"url":null,"abstract":"In this paper, the ideas of shape template matching, multi-sample template matching, and ROI area processing are combined into an edge contour template matching algorithm module. Based on the OpenCV open source vision library, the area to be removed in the ROI area is colored polygons, and the noise points of this shape feature need to be removed, and only the feature points with obvious edge contour features are extracted; as a result, the matching time is transferred to the mapping time, thereby reducing the total matching time.","PeriodicalId":137914,"journal":{"name":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","volume":"341 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research and application of template matching algorithm based on edge contour\",\"authors\":\"Zhuoxin Liu, Ji Zhang, Kaibin Chu\",\"doi\":\"10.1117/12.2667677\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the ideas of shape template matching, multi-sample template matching, and ROI area processing are combined into an edge contour template matching algorithm module. Based on the OpenCV open source vision library, the area to be removed in the ROI area is colored polygons, and the noise points of this shape feature need to be removed, and only the feature points with obvious edge contour features are extracted; as a result, the matching time is transferred to the mapping time, thereby reducing the total matching time.\",\"PeriodicalId\":137914,\"journal\":{\"name\":\"International Conference on Artificial Intelligence, Virtual Reality, and Visualization\",\"volume\":\"341 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Artificial Intelligence, Virtual Reality, and Visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2667677\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Artificial Intelligence, Virtual Reality, and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2667677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and application of template matching algorithm based on edge contour
In this paper, the ideas of shape template matching, multi-sample template matching, and ROI area processing are combined into an edge contour template matching algorithm module. Based on the OpenCV open source vision library, the area to be removed in the ROI area is colored polygons, and the noise points of this shape feature need to be removed, and only the feature points with obvious edge contour features are extracted; as a result, the matching time is transferred to the mapping time, thereby reducing the total matching time.