Abstract

MORA, André Damas  and  FONSECA, José Manuel. Methodology for image artifacts detection in retinal images with application in Ophthalmology Screening. RISTI [online]. 2014, n.13, pp.51-63. ISSN 1646-9895.  https://doi.org/10.4304/risti.13.51-63.

Automatic diagnostic systems for retinal diseases based on image processing have continuously demonstrated its potential for clinical practice. However, their accuracy is often compromised by the inherent difficulty in detecting abnormal structures and aggravated by deficiencies in image acquisition. In screening scenarios, these deficiencies can lead to a significant amount of repeated images, implying costs and system’s inefficiency. In this paper we propose a methodology to automatically evaluate the quality of captured images allowing the operator to repeat the acquisition if appropriate. The proposed method identifies different types of artefacts based on color, shape and image intensity. Using a set of 61 images a sensitivity of 97% at a rate of 0.12 false positives in the central artifact detection and 73% sensitivity with 0.36 false positives on the detection of light flares, were obtained. These results can be considered positive given the poor quality and heterogeneity of the processed images.

Keywords : Automatic classification; image processing; retinal images; light flares; ophthalmology screening.

        · abstract in Portuguese     · text in Portuguese     · Portuguese ( pdf )