{"title":"利用空间变换进行图像处理","authors":"Yuhong Zhang","doi":"10.1109/IASP.2009.5054663","DOIUrl":null,"url":null,"abstract":"This paper deals with image processing using spatial (geometric) transforms such as translation, rotation, and scaling, shearing, and projective transform. These transforms can be used for image correction. Translation, rotation, and scaling transform are also called affine transform which is a subset of projective transform. All the methods are given experimental results implemented in Matlab.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Image processing using spatial transform\",\"authors\":\"Yuhong Zhang\",\"doi\":\"10.1109/IASP.2009.5054663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with image processing using spatial (geometric) transforms such as translation, rotation, and scaling, shearing, and projective transform. These transforms can be used for image correction. Translation, rotation, and scaling transform are also called affine transform which is a subset of projective transform. All the methods are given experimental results implemented in Matlab.\",\"PeriodicalId\":143959,\"journal\":{\"name\":\"2009 International Conference on Image Analysis and Signal Processing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Image Analysis and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IASP.2009.5054663\",\"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 Conference on Image Analysis and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASP.2009.5054663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper deals with image processing using spatial (geometric) transforms such as translation, rotation, and scaling, shearing, and projective transform. These transforms can be used for image correction. Translation, rotation, and scaling transform are also called affine transform which is a subset of projective transform. All the methods are given experimental results implemented in Matlab.