{"title":"应用ARM处理器视网膜图像诊断青光眼","authors":"Karnika K. Baraiya, D. A. Suthar","doi":"10.2139/ssrn.3668857","DOIUrl":null,"url":null,"abstract":"The abstract is to be in fully-justified italicized text as it is here, below the author information. Use the word Glaucoma is the disease which effect on the human eye which may cause blindness if not treated properly. Glaucoma occurs due to increased pressure called Intra Ocular Pressure (IOP). The glaucoma detection will be carried out using Image Processing Methods like NFL (Nerve Fibre Layer) defects detection and texture analysis, Neuro Retinal Optic Cup Detection and Image Segmentation. For the development of the system, ARM based processor and high-resolution night vision camera is used. Using Camera module will capture fundus images, image processing algorithm will process this image further with edge detection and apply various techniques for detection and correction of medical images. This research work can detect Glaucoma at preliminary stages. It is helpful for medical practitioner and researchers as well as patients. The proposed method is automated, portable, cheapest and more accurate and efficient.","PeriodicalId":89488,"journal":{"name":"The electronic journal of human sexuality","volume":"221 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diagnosis of Glaucoma using ARM Processor on Retinal Image\",\"authors\":\"Karnika K. Baraiya, D. A. Suthar\",\"doi\":\"10.2139/ssrn.3668857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The abstract is to be in fully-justified italicized text as it is here, below the author information. Use the word Glaucoma is the disease which effect on the human eye which may cause blindness if not treated properly. Glaucoma occurs due to increased pressure called Intra Ocular Pressure (IOP). The glaucoma detection will be carried out using Image Processing Methods like NFL (Nerve Fibre Layer) defects detection and texture analysis, Neuro Retinal Optic Cup Detection and Image Segmentation. For the development of the system, ARM based processor and high-resolution night vision camera is used. Using Camera module will capture fundus images, image processing algorithm will process this image further with edge detection and apply various techniques for detection and correction of medical images. This research work can detect Glaucoma at preliminary stages. It is helpful for medical practitioner and researchers as well as patients. The proposed method is automated, portable, cheapest and more accurate and efficient.\",\"PeriodicalId\":89488,\"journal\":{\"name\":\"The electronic journal of human sexuality\",\"volume\":\"221 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The electronic journal of human sexuality\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3668857\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The electronic journal of human sexuality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3668857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diagnosis of Glaucoma using ARM Processor on Retinal Image
The abstract is to be in fully-justified italicized text as it is here, below the author information. Use the word Glaucoma is the disease which effect on the human eye which may cause blindness if not treated properly. Glaucoma occurs due to increased pressure called Intra Ocular Pressure (IOP). The glaucoma detection will be carried out using Image Processing Methods like NFL (Nerve Fibre Layer) defects detection and texture analysis, Neuro Retinal Optic Cup Detection and Image Segmentation. For the development of the system, ARM based processor and high-resolution night vision camera is used. Using Camera module will capture fundus images, image processing algorithm will process this image further with edge detection and apply various techniques for detection and correction of medical images. This research work can detect Glaucoma at preliminary stages. It is helpful for medical practitioner and researchers as well as patients. The proposed method is automated, portable, cheapest and more accurate and efficient.