Authors:
Diana Veiga
1
;
Carla Pereira
2
;
Manuel Ferreira
1
;
Luís Gonçalves
3
and
João Monteiro
4
Affiliations:
1
ENERMETER and University of Minho, Portugal
;
2
ENERMETER, Portugal
;
3
Oftalmocenter, Portugal
;
4
University of Minho, Portugal
Keyword(s):
Digital Fundus Photography, Focus Measures, Image Processing.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Color and Texture Analyses
;
Computer Vision, Visualization and Computer Graphics
;
Digital Photography
;
Features Extraction
;
Image and Video Analysis
;
Medical Image Applications
Abstract:
Digital fundus photographs are often used to provide clinical diagnostic information about several pathologies such as diabetes, glaucoma, macular degeneration and vascular and neurologic disorders. To allow a precise analysis, digital fundus image quality should be assessed to evaluate if minimum requirements are present. Focus is one of the causes of low image quality. This paper describes a method that automatically classifies fundus images as focused or defocused. Various focus measures described in literature were tested and included in a feature vector for the classification step. A neural network classifier was used. HEI-MED and MESSIDOR image sets were utilized in the training and testing phase, respectively. All images were correctly classified by the proposed algorithm.