A self-adaptive matched filter for retinal blood vessel detection

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• 作者：Tapabrata Chakraborti (1)
  Dhiraj K. Jha (2)
  Ananda S. Chowdhury (2)
  Xiaoyi Jiang (3)
  
  1. Department of Electrical Engineering ; Jadavpur University ; Kolkata ; 700032 ; India
  2. Department of Electronics and Telecommunications Engineering ; Jadavpur University ; Kolkata ; 700032 ; India
  3. Department of Mathematics and Computer Science ; University of M眉nster ; M眉nster ; Germany
  
• 关键词：Self ; adaptive matched filter ; Vesselness filter ; Orientation histogram ; Retinal blood vessel detection
• 刊名：Machine Vision and Applications
• 出版年：2015
• 出版时间：January 2015
• 年：2015
• 卷：26
• 期：1
• 页码：55-68
• 全文大小：6,089 KB
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• 刊物类别：Computer Science
• 刊物主题：Pattern Recognition
  Image Processing and Computer Vision
  Communications Engineering and Networks
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-1769

文摘

Retinal fundus images are widely studied in medicine for the detection of certain pathologies such as diabetes and glaucoma, the two major reasons for blindness. In this paper, a self-adaptive matched filter for the detection of blood vessels in the retinal fundus images is proposed. In particular, a novel synergistic combination of the vesselness filter with high sensitivity and the matched filter with high specificity is obtained using orientation histogram. Experiments on the publicly available DRIVE database clearly show that the proposed strategy outperforms several existing methods. Comparable performance with some of the state-of-the-art methods has also been obtained on the STARE and CHASE databases.