{"title":"用差分链码作为曲率的角点检测","authors":"N. Nain, V. Laxmi, Bhavitavya Bhadviya, A. Gopal","doi":"10.1109/SITIS.2007.118","DOIUrl":null,"url":null,"abstract":"Discontinuity detection plays an important role in image analysis applications like image registration, comparison, segmentation, time sequence analysis and object recognition. This paper presents a new approach for corner detection using first order difference chain-encoding. The proposed method is based on integer operations it is very simple and efficient. Preliminary results are presented and evaluation with respect to standard corner detectors like Harris and Yung is done as a benchmark.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"36 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"Corner Detection Using Difference Chain Code as Curvature\",\"authors\":\"N. Nain, V. Laxmi, Bhavitavya Bhadviya, A. Gopal\",\"doi\":\"10.1109/SITIS.2007.118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Discontinuity detection plays an important role in image analysis applications like image registration, comparison, segmentation, time sequence analysis and object recognition. This paper presents a new approach for corner detection using first order difference chain-encoding. The proposed method is based on integer operations it is very simple and efficient. Preliminary results are presented and evaluation with respect to standard corner detectors like Harris and Yung is done as a benchmark.\",\"PeriodicalId\":234433,\"journal\":{\"name\":\"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System\",\"volume\":\"36 6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SITIS.2007.118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2007.118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Corner Detection Using Difference Chain Code as Curvature
Discontinuity detection plays an important role in image analysis applications like image registration, comparison, segmentation, time sequence analysis and object recognition. This paper presents a new approach for corner detection using first order difference chain-encoding. The proposed method is based on integer operations it is very simple and efficient. Preliminary results are presented and evaluation with respect to standard corner detectors like Harris and Yung is done as a benchmark.