No-reference quality metrics for eye fundus imaging

Authors:
Andrés G. Marrugo;María S. Millán;Gabriel Cristóbal;Salvador Gabarda;Héctor C. Abril
Affiliations:
Department of Optics and Optometry, Universitat Politècnica de Catalunya, Terrassa, Spain;Department of Optics and Optometry, Universitat Politècnica de Catalunya, Terrassa, Spain;Instituto de Óptica;Instituto de Óptica;Department of Optics and Optometry, Universitat Politècnica de Catalunya, Terrassa, Spain
Venue:
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Year:
2011

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Abstract

This paper presents a comparative study on the use of noreference quality metrics for eye fundus imaging. We center on autofocusing 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.