Objective Quality Assessment of Retinal Images Based on Texture Features

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Remeseiro, B (Autor) Outra; Ana Maria Mendonça (Autor) FEUP; Aurélio Campilho (Autor) FEUP

Ata de Conferência Internacional

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

Páginas: 4520-4527

Indexação

ISI Web of Knowledge - 7 Citações

Outras Informações

ID Authenticus: 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%.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8