{"title":"计算机视觉原理。相反的方法","authors":"Andrei-George Oprina, E. Simion, Gheorghe Simion","doi":"10.1109/ISSCS.2009.5206081","DOIUrl":null,"url":null,"abstract":"In this paper we describe a contrario detection method used in image processing in order to identify new objects which apper in digital images. The principle of a contrario detection is to first define an a priori model for the generic case when there is nothing to detect. Detection will only take place when the number of occurrences of such an event in the a priori model is low.","PeriodicalId":277587,"journal":{"name":"2009 International Symposium on Signals, Circuits and Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Computer vision principles. A contrario method\",\"authors\":\"Andrei-George Oprina, E. Simion, Gheorghe Simion\",\"doi\":\"10.1109/ISSCS.2009.5206081\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe a contrario detection method used in image processing in order to identify new objects which apper in digital images. The principle of a contrario detection is to first define an a priori model for the generic case when there is nothing to detect. Detection will only take place when the number of occurrences of such an event in the a priori model is low.\",\"PeriodicalId\":277587,\"journal\":{\"name\":\"2009 International Symposium on Signals, Circuits and Systems\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Symposium on Signals, Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCS.2009.5206081\",\"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 International Symposium on Signals, Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCS.2009.5206081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we describe a contrario detection method used in image processing in order to identify new objects which apper in digital images. The principle of a contrario detection is to first define an a priori model for the generic case when there is nothing to detect. Detection will only take place when the number of occurrences of such an event in the a priori model is low.
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