{"title":"利用角点检测定位图像中的2-Dim码","authors":"Ping Wang, Jinyi Hou","doi":"10.1109/ICWAPR.2010.5576430","DOIUrl":null,"url":null,"abstract":"We report on the development and implementation of a robust algorithm for extracting 2-Dim code Area in video images. The algorithm concludes two main steps, firstly, convert the RGB images into gray-scale images and location the point of max local radio in the gray image. These points are so-called corner points. Secondly we used the points to clustering and the results of the clustering can be used to find one area that conform the shape of a 2-Dim code area. The experiment results shows that 2-Dim code area in the 2-Dim code images with rectangle or circle element, bad contrast in illumination or with adjacent noise in the image could be find correctly.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Location of 2-Dim code in image by corner detection\",\"authors\":\"Ping Wang, Jinyi Hou\",\"doi\":\"10.1109/ICWAPR.2010.5576430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We report on the development and implementation of a robust algorithm for extracting 2-Dim code Area in video images. The algorithm concludes two main steps, firstly, convert the RGB images into gray-scale images and location the point of max local radio in the gray image. These points are so-called corner points. Secondly we used the points to clustering and the results of the clustering can be used to find one area that conform the shape of a 2-Dim code area. The experiment results shows that 2-Dim code area in the 2-Dim code images with rectangle or circle element, bad contrast in illumination or with adjacent noise in the image could be find correctly.\",\"PeriodicalId\":219884,\"journal\":{\"name\":\"2010 International Conference on Wavelet Analysis and Pattern Recognition\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Wavelet Analysis and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWAPR.2010.5576430\",\"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 International Conference on Wavelet Analysis and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR.2010.5576430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Location of 2-Dim code in image by corner detection
We report on the development and implementation of a robust algorithm for extracting 2-Dim code Area in video images. The algorithm concludes two main steps, firstly, convert the RGB images into gray-scale images and location the point of max local radio in the gray image. These points are so-called corner points. Secondly we used the points to clustering and the results of the clustering can be used to find one area that conform the shape of a 2-Dim code area. The experiment results shows that 2-Dim code area in the 2-Dim code images with rectangle or circle element, bad contrast in illumination or with adjacent noise in the image could be find correctly.