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Hybrid Retinal Image Registration Using Mutual Information and Salient Features
Jaeyong JU Murray LOEW Bonhwa KU Hanseok KO
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/06/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Biological Engineering
retinal image registration, salient features, mutual information, medical imaging,
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| Errata[Uploaded on July 1,2016]
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.