{"title":"差干涉对比显微镜图像中细胞识别的模板构建与匹配","authors":"D. Young, Alison Gray","doi":"10.1109/IAI.1998.666892","DOIUrl":null,"url":null,"abstract":"Template matching, for identification of cells in differential interference contrast (DIC) microscope images by digital image analysis, is complex. This is due to the nature of DIC images, namely an apparent illumination effect across cells in the image. Different cell sizes and orientations cause further complications. Three methods of template construction are proposed for different types of cell, and a successful automatic method for cell counting and sizing is described. These methods compensate for the complexities in the images.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"486 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Template construction and matching for identification of cells in differential interference contrast microscope images\",\"authors\":\"D. Young, Alison Gray\",\"doi\":\"10.1109/IAI.1998.666892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Template matching, for identification of cells in differential interference contrast (DIC) microscope images by digital image analysis, is complex. This is due to the nature of DIC images, namely an apparent illumination effect across cells in the image. Different cell sizes and orientations cause further complications. Three methods of template construction are proposed for different types of cell, and a successful automatic method for cell counting and sizing is described. These methods compensate for the complexities in the images.\",\"PeriodicalId\":373701,\"journal\":{\"name\":\"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)\",\"volume\":\"486 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAI.1998.666892\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI.1998.666892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Template construction and matching for identification of cells in differential interference contrast microscope images
Template matching, for identification of cells in differential interference contrast (DIC) microscope images by digital image analysis, is complex. This is due to the nature of DIC images, namely an apparent illumination effect across cells in the image. Different cell sizes and orientations cause further complications. Three methods of template construction are proposed for different types of cell, and a successful automatic method for cell counting and sizing is described. These methods compensate for the complexities in the images.