{"title":"目标-背景图像的最佳边缘检测","authors":"Kammoun F., Astruc J.P.","doi":"10.1006/cgip.1994.1004","DOIUrl":null,"url":null,"abstract":"<div><p>The statistical method for edge gray-level detection of Kittler <em>et al</em>. is shown to estimate the middle of the object and the background luminance. Modifications to Kittler′s method are presented to estimate better the gray level above the maximum slope and to be less sensitive to the noise over uniform luminance areas.</p></div>","PeriodicalId":100349,"journal":{"name":"CVGIP: Graphical Models and Image Processing","volume":"56 1","pages":"Pages 25-28"},"PeriodicalIF":0.0000,"publicationDate":"1994-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/cgip.1994.1004","citationCount":"11","resultStr":"{\"title\":\"Optimum Edge Detection for Object-Background Picture\",\"authors\":\"Kammoun F., Astruc J.P.\",\"doi\":\"10.1006/cgip.1994.1004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The statistical method for edge gray-level detection of Kittler <em>et al</em>. is shown to estimate the middle of the object and the background luminance. Modifications to Kittler′s method are presented to estimate better the gray level above the maximum slope and to be less sensitive to the noise over uniform luminance areas.</p></div>\",\"PeriodicalId\":100349,\"journal\":{\"name\":\"CVGIP: Graphical Models and Image Processing\",\"volume\":\"56 1\",\"pages\":\"Pages 25-28\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1006/cgip.1994.1004\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CVGIP: Graphical Models and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1049965284710042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CVGIP: Graphical Models and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1049965284710042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimum Edge Detection for Object-Background Picture
The statistical method for edge gray-level detection of Kittler et al. is shown to estimate the middle of the object and the background luminance. Modifications to Kittler′s method are presented to estimate better the gray level above the maximum slope and to be less sensitive to the noise over uniform luminance areas.