Hybrid Retinal Image Registration Using Mutual Information and Salient Features

Jaeyong JU  Murray LOEW  Bonhwa KU  Hanseok KO  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E99-D   No.6   pp.1729-1732
Publication Date: 2016/06/01
Publicized: 2016/03/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2015EDL8265
Type of Manuscript: LETTER
Category: Biological Engineering
Keyword: 
retinal image registration,  salient features,  mutual information,  medical imaging,  

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Summary: 
This paper presents a method for registering retinal images. Retinal image registration is crucial for the diagnoses and treatments of various eye conditions and diseases such as myopia and diabetic retinopathy. Retinal image registration is challenging because the images have non-uniform contrasts and intensity distributions, as well as having large homogeneous non-vascular regions. This paper provides a new retinal image registration method by effectively combining expectation maximization principal component analysis based mutual information (EMPCA-MI) with salient features. Experimental results show that our method is more efficient and robust than the conventional EMPCA-MI method.