Title
Curvelet Domain Image Fusion Of Oct And Fundus Imagery Using Convolution Of Meridian Distributions
Abstract
This paper presents a novel statistical model based method aimed at fusing Optical Coherence Tomography and Fundus Photographic imagery of the eye. The presented method utilises the Discrete Curvelet Transform to decompose the images into sub-band coefficients. The Meridian distribution, a specialized case of the generalized Cauchy distribution, is used to model the curvelet decomposition coefficients. The convolution of the input image distributions is used as a probabilistic prior for modelling the fused image coefficients. Experimental results show this method to provide very high-quality fusion results.
Year
DOI
Venue
2013
10.1109/ICIP.2013.6738292
2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013)
Keywords
Field
DocType
Image fusion, OCT, Fundus Photography, Meridian distribution, Curvelets
Computer vision,Optical coherence tomography,Pattern recognition,Image fusion,Computer science,Convolution,Cauchy distribution,Meridian (astronomy),Artificial intelligence,Statistical model,Optical tomography,Curvelet
Conference
ISSN
Citations 
PageRank 
1522-4880
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Odysseas A. Pappas122.06
Nantheera Anantrasirichai210815.60
Lindsay Nicholson3101.99
James E. Morgan4393.67
Irina Erchova5101.31
Alin Achim669961.36