No-reference Quality Metrics for Eye Fundus Imaging

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• 作者：Andrés G. Marrugo (1) andres.marrugo@upc.edu
  María S. Millán (1) millan@oo.upc.edu
  Gabriel Cristóbal (2) gabriel@optica.csic.es
  Salvador Gabarda (2) salvador@optica.csic.es
  Héctor C. Abril (1) hector.abril@upc.edu
• 关键词：No ; reference metrics – fundus image – image quality
• 刊名：Lecture Notes in Computer Science
• 出版年：2011
• 出版时间：2011
• 年：2011
• 卷：6854
• 期：1
• 页码：486-493
• 全文大小：268.2 KB
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• 作者单位：1. Group of Applied Optics and Image Processing, Department of Optics and Optometry, Universitat Politècnica de Catalunya, Terrassa, Spain2. Instituto de óptica “Daza de Valdés-(CSIC), Serrano 121, Madrid, 28006 Spain
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

This paper presents a comparative study on the use of no-reference quality metrics for eye fundus imaging. We center on auto-focusing and quality assessment as key applications for the correct operation of a fundus imaging system. Four state-of-the-art no-reference metrics were selected for the study. From these, a metric based of Rényi anisotropy yielded the best performance in both auto-focusing and quality assessment.