Objective Quality Assessment of Retinal Images Based on Texture Features

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Remeseiro, B (Author) Other; Ana Maria Mendonça (Author) FEUP; Aurélio Campilho (Author) FEUP

Conference proceedings International

Title: 2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017

Pages: 4520-4527

Indexing

ISI Web of Knowledge - 7 Citations

Scopus - 13 Citations

Other information

Authenticus ID: P-00M-WQ7

DOI: 10.1109/ijcnn.2017.7966429

Abstract (EN): Image quality assessment has been a topic of intense research over the last decades. Although its application to other disciplines is growing tremendously, its use in retinal imaging is still immature and some fundamental challenges remain unsolved. Thus, we present a research methodology for the objective assessment of the quality in retinal images. The methodology can be used as a preliminary step in any computer-aided system, and is composed of four main steps: the location of the region-of-interest, the extraction of relevant image properties and their analysis by feature selection, and the final binary classification into two classes (good and poor quality). The experimental results demonstrate the adequacy of the proposed methodology in this context, being able to objectively assess the quality of retinal images with an accuracy over 99%.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8