Bioinformatics and Biomedical Engineering – Chou & Zhou (Eds)
© 2016 Taylor & Francis Group, London, ISBN 978-1-138-02784-8
193
Retinal images change detection based on fusing
multi-features differences
S. Yin, B.Z. Chen & L.S. Wang
Department of Automation, Institute of Image Processing and Pattern Recognition,
Shanghai Jiao Tong University, Shanghai, China
ABSTRACT: This paper proposes an approach to detect changes between two longitudi-
nal retinal images of the same patient based on multi-attributes fusion. With the approach,
two retinal images are firstly aligned spatially by registering them. Then illumination varia-
tions between these two images are reduced by employing the modified Single Scale Retinex
method. Finally, changes between these ...