{"title":"几种线性图像边缘检测算法的比较","authors":"Song Qiang, Lingxia Liu","doi":"10.1109/ICMV.2009.77","DOIUrl":null,"url":null,"abstract":"Along with the rapid development of computer technology, image edge detection has become an important content of image processing. It is the basic problem of image analysis as well as the premise of image segmentation, feature extraction and image recognition. This paper discusses in detail two edge detection algorithms based on linear filtering technique, namely Marr-Hildreth algorithm and Canny algorithm.","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Compare between Several Linear Image Edge Detection Algorithm\",\"authors\":\"Song Qiang, Lingxia Liu\",\"doi\":\"10.1109/ICMV.2009.77\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Along with the rapid development of computer technology, image edge detection has become an important content of image processing. It is the basic problem of image analysis as well as the premise of image segmentation, feature extraction and image recognition. This paper discusses in detail two edge detection algorithms based on linear filtering technique, namely Marr-Hildreth algorithm and Canny algorithm.\",\"PeriodicalId\":315778,\"journal\":{\"name\":\"2009 Second International Conference on Machine Vision\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Second International Conference on Machine Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMV.2009.77\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Second International Conference on Machine Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMV.2009.77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Compare between Several Linear Image Edge Detection Algorithm
Along with the rapid development of computer technology, image edge detection has become an important content of image processing. It is the basic problem of image analysis as well as the premise of image segmentation, feature extraction and image recognition. This paper discusses in detail two edge detection algorithms based on linear filtering technique, namely Marr-Hildreth algorithm and Canny algorithm.