{"title":"利用遗传算法自动构造图像变换过程","authors":"T. Nagao, S. Masunaga","doi":"10.1109/ICIP.1996.560795","DOIUrl":null,"url":null,"abstract":"A method to approximate the image transformation from an original image to its ideally processed target image by a sequence of several image transformation filters is proposed in this paper. The ideally processed image is assumed to be generated manually by the use of drawing software. In this method, the order of applying image transformation filters is determined by a genetic algorithm. This method can be applied to construction of an expert system for image processing.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":"{\"title\":\"Automatic construction of image transformation processes using genetic algorithm\",\"authors\":\"T. Nagao, S. Masunaga\",\"doi\":\"10.1109/ICIP.1996.560795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method to approximate the image transformation from an original image to its ideally processed target image by a sequence of several image transformation filters is proposed in this paper. The ideally processed image is assumed to be generated manually by the use of drawing software. In this method, the order of applying image transformation filters is determined by a genetic algorithm. This method can be applied to construction of an expert system for image processing.\",\"PeriodicalId\":192947,\"journal\":{\"name\":\"Proceedings of 3rd IEEE International Conference on Image Processing\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"34\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 3rd IEEE International Conference on Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.1996.560795\",\"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 3rd IEEE International Conference on Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.1996.560795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic construction of image transformation processes using genetic algorithm
A method to approximate the image transformation from an original image to its ideally processed target image by a sequence of several image transformation filters is proposed in this paper. The ideally processed image is assumed to be generated manually by the use of drawing software. In this method, the order of applying image transformation filters is determined by a genetic algorithm. This method can be applied to construction of an expert system for image processing.
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