{"title":"自动角膜内皮细胞分析","authors":"R. Nadachi, K. Nunokawa","doi":"10.1109/CBMS.1992.245000","DOIUrl":null,"url":null,"abstract":"Corneal endothelial cell images taken by a noncontact specular microscope usually have a strong gray-scale gradient and flare that make automated analysis very difficult. The development is reported of an automated analysis system of the noncontact specular image, using a specially variant contrast enhancement to remove these obstacles from the original image. The results obtained by the system are compared with the traditional method that uses a hand sketch of boundaries of the cell.<<ETX>>","PeriodicalId":197891,"journal":{"name":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Automated corneal endothelial cell analysis\",\"authors\":\"R. Nadachi, K. Nunokawa\",\"doi\":\"10.1109/CBMS.1992.245000\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Corneal endothelial cell images taken by a noncontact specular microscope usually have a strong gray-scale gradient and flare that make automated analysis very difficult. The development is reported of an automated analysis system of the noncontact specular image, using a specially variant contrast enhancement to remove these obstacles from the original image. The results obtained by the system are compared with the traditional method that uses a hand sketch of boundaries of the cell.<<ETX>>\",\"PeriodicalId\":197891,\"journal\":{\"name\":\"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBMS.1992.245000\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.1992.245000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Corneal endothelial cell images taken by a noncontact specular microscope usually have a strong gray-scale gradient and flare that make automated analysis very difficult. The development is reported of an automated analysis system of the noncontact specular image, using a specially variant contrast enhancement to remove these obstacles from the original image. The results obtained by the system are compared with the traditional method that uses a hand sketch of boundaries of the cell.<>