Application of fuzzy inference and active contour model for detection of fovea and its center in a fundus image

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• 作者：R. Rahman ; S. M. Raiyan Kabir ; Anita Quadir
• 关键词：Retinal images ; Fuzzy rule ; based classification ; Gradient vector flow
• 刊名：Signal, Image and Video Processing
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：10
• 期：2
• 页码：397-404
• 全文大小：1,890 KB
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• 作者单位：R. Rahman (1)
  S. M. Raiyan Kabir (2)
  Anita Quadir (2)
  
  1. Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, 200 E. Dean Keeton St., Stop C0300, Austin, TX, 78712, USA
  2. Department of Electrical and Electonic Engineering, City University of London, Northampton Square, London, EC1V 0HB, UK
  
• 刊物类别：Engineering
• 刊物主题：Signal,Image and Speech Processing
  Image Processing and Computer Vision
  Computer Imaging, Vision, Pattern Recognition and Graphics
  Multimedia Information Systems
  
• 出版者：Springer London
• ISSN：1863-1711

文摘

Detecting the center of the fovea and its boundary in a human retinal image is a challenging task due to the irregularity of the avascular foveal region. Several attempts have been made in order to detect the boundary using fluorescein angiographic images. However, no attempt was made until now in detecting the boundary of fovea directly from fundus images. In this paper, a novel method for detecting the center of the fovea and its boundary in a fundus image is proposed. A fuzzy rule-based technique has been implemented along with a gradient vector flow (GVF)-based active contour technique in order to detect the boundary of the foveal avascular zone as well as its center. The proposed method exhibits to be promising in detecting fovea regions in wide range of images.