{"title":"面向实时可视化编程环境的渐进运算符理论","authors":"S. Tanimoto","doi":"10.1109/WVL.1990.128386","DOIUrl":null,"url":null,"abstract":"Operators that, over time, produce successive approximations to the correct output are called progressive operators. These operators, and measures for evaluating them, are defined. Desirable properties for progressive operators are identified. Methods for their design are suggested. Examples of progressive operators for image processing are presented.<<ETX>>","PeriodicalId":256667,"journal":{"name":"Proceedings of the 1990 IEEE Workshop on Visual Languages","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Towards a theory of progressive operators for live visual programming environments\",\"authors\":\"S. Tanimoto\",\"doi\":\"10.1109/WVL.1990.128386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Operators that, over time, produce successive approximations to the correct output are called progressive operators. These operators, and measures for evaluating them, are defined. Desirable properties for progressive operators are identified. Methods for their design are suggested. Examples of progressive operators for image processing are presented.<<ETX>>\",\"PeriodicalId\":256667,\"journal\":{\"name\":\"Proceedings of the 1990 IEEE Workshop on Visual Languages\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1990 IEEE Workshop on Visual Languages\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WVL.1990.128386\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1990 IEEE Workshop on Visual Languages","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WVL.1990.128386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards a theory of progressive operators for live visual programming environments
Operators that, over time, produce successive approximations to the correct output are called progressive operators. These operators, and measures for evaluating them, are defined. Desirable properties for progressive operators are identified. Methods for their design are suggested. Examples of progressive operators for image processing are presented.<>