Hybrid Retinal Image Registration Using Mutual Information and Salient Features
- Authors
- Ju, Jaeyong; Loew, Murray; Ku, Bonhwa; Ko, Hanseok
- Issue Date
- 6월-2016
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- retinal image registration; salient features; mutual information; medical imaging
- Citation
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E99D, no.6, pp.1729 - 1732
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Volume
- E99D
- Number
- 6
- Start Page
- 1729
- End Page
- 1732
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/88576
- DOI
- 10.1587/transinf.2015EDL8265
- ISSN
- 1745-1361
- Abstract
- 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.
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