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  • 标题:Segmentation of Blood Vessel in Retinal Images and Detection of Glaucoma using BWAREA and SVM
  • 本地全文:下载
  • 作者:P.Dhivyabharathi ; Mrs. V. Priya
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2018
  • 卷号:7
  • 期号:1
  • 页码:54-61
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Segmentation is one of the most important processes in Digital Image Processing. Segmentation means divide or partition an image into multiple parts. Image segmentation is used to segment the parts of the image for processing. The glaucoma disease directly affects the optic nerve, and it becomes blindness. Blindness is an increasing disease of all over the world. If this eye diseases were detected earlier mean the blindness can be avoided at the earliest stage. Blood vessel segmentation can perform an important role in the diagnosis and treatment of different cardiovascular and ophthalmologist diseases. The main aim of this work is detection of glaucoma. In this research work, the segmentation of blood vessels and detection of glaucoma is done by using Black and White Area (BWAREA) method. The experimental results are evaluated such as accuracy, sensitivity and specificity.
  • 关键词:Segmentation; Mean filter; Morphological operation; BWAREA and SVM.
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