Image Processing

Quality evaluation of digital fundus images through combined measures

[+] Author Affiliations
Diana Veiga

University of Minho, Centro Algoritmi, Azurém, Guimarães 4800-025, Portugal

ENERMETER, Parque Industrial de Celeirós 2ª Fase, Lugar de Gaião, Lotes 5/6, Braga 4705-025, Portugal

Carla Pereira

ENERMETER, Parque Industrial de Celeirós 2ª Fase, Lugar de Gaião, Lotes 5/6, Braga 4705-025, Portugal

Manuel Ferreira

University of Minho, Centro Algoritmi, Azurém, Guimarães 4800-025, Portugal

ENERMETER, Parque Industrial de Celeirós 2ª Fase, Lugar de Gaião, Lotes 5/6, Braga 4705-025, Portugal

Luís Gonçalves

Oftalmocenter, Rua Francisco Ribeiro de Castro, n° 205, Azurém, Guimarães 4800-045, Portugal

João Monteiro

University of Minho, Centro Algoritmi, Azurém, Guimarães 4800-025, Portugal

J. Med. Imag. 1(1), 014001 (Apr 23, 2014). doi:10.1117/1.JMI.1.1.014001
History: Received November 11, 2013; Revised February 14, 2014; Accepted March 10, 2014
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Abstract.  The evaluation of image quality is an important step before an automatic analysis of retinal images. Several conditions can impair the acquisition of a good image, and minimum image quality requirements should be present to ensure that an automatic or semiautomatic system provides an accurate diagnosis. A method to classify fundus images as low or good quality is presented. The method starts with the detection of regions of uneven illumination and evaluates if the segmented noise masks affect a clinically relevant area (around the macula). Afterwards, focus is evaluated through a fuzzy classifier. An input vector is created extracting three focus features. The system was validated in a large dataset (1454 fundus images), obtained from an online database and an eye clinic and compared with the ratings of three observers. The system performance was close to optimal with an area under the receiver operating characteristic curve of 0.9943.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Diana Veiga ; Carla Pereira ; Manuel Ferreira ; Luís Gonçalves and João Monteiro
"Quality evaluation of digital fundus images through combined measures", J. Med. Imag. 1(1), 014001 (Apr 23, 2014). ; http://dx.doi.org/10.1117/1.JMI.1.1.014001


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