{"title":"主动轮廓法对图像理解的贡献","authors":"Arkadiusz Tomczyk, P. Szczepaniak","doi":"10.1109/IST.2007.379598","DOIUrl":null,"url":null,"abstract":"The paper proposes a formal, though a simple, model of the activity of human vision system. That model serves as a reference point for description of relational and contextual recognition and allows to formulate a definition of image understanding problem. As a potential solution of that problem active contour methods are proposed, which do not possess some limitations of classic recognition algorithms. Moreover, they can be used not only as methods of construction of contextual pixel classifiers, but also as methods of identification of relations between any arbitrary more complicated structures (concepts).","PeriodicalId":329519,"journal":{"name":"2007 IEEE International Workshop on Imaging Systems and Techniques","volume":"56 12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Contribution of Active Contour Approach to Image Understanding\",\"authors\":\"Arkadiusz Tomczyk, P. Szczepaniak\",\"doi\":\"10.1109/IST.2007.379598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper proposes a formal, though a simple, model of the activity of human vision system. That model serves as a reference point for description of relational and contextual recognition and allows to formulate a definition of image understanding problem. As a potential solution of that problem active contour methods are proposed, which do not possess some limitations of classic recognition algorithms. Moreover, they can be used not only as methods of construction of contextual pixel classifiers, but also as methods of identification of relations between any arbitrary more complicated structures (concepts).\",\"PeriodicalId\":329519,\"journal\":{\"name\":\"2007 IEEE International Workshop on Imaging Systems and Techniques\",\"volume\":\"56 12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Workshop on Imaging Systems and Techniques\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IST.2007.379598\",\"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 IEEE International Workshop on Imaging Systems and Techniques","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IST.2007.379598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Contribution of Active Contour Approach to Image Understanding
The paper proposes a formal, though a simple, model of the activity of human vision system. That model serves as a reference point for description of relational and contextual recognition and allows to formulate a definition of image understanding problem. As a potential solution of that problem active contour methods are proposed, which do not possess some limitations of classic recognition algorithms. Moreover, they can be used not only as methods of construction of contextual pixel classifiers, but also as methods of identification of relations between any arbitrary more complicated structures (concepts).