Curvelet domain image fusion of OCT and fundus imagery using convolution of Meridian distributions

Odysseas A Pappas; Nantheera Anantrasirichai; Lindsay B Nicholson; James E Morgan; Irina Erchova; Alin M Achim

doi:10.1109/ICIP.2013.6738292

Curvelet domain image fusion of OCT and fundus imagery using convolution of Meridian distributions

Odysseas A Pappas, Nantheera Anantrasirichai, Lindsay B Nicholson, James E Morgan, Irina Erchova, Alin M Achim

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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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.

Original language	English
Title of host publication	Image Processing (ICIP), 2013 20th IEEE International Conference on
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1423-1427
DOIs	https://doi.org/10.1109/ICIP.2013.6738292
Publication status	Published - 2013

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Pappas, O. A., Anantrasirichai, N., Nicholson, L. B., Morgan, J. E., Erchova, I., & Achim, A. M. (2013). Curvelet domain image fusion of OCT and fundus imagery using convolution of Meridian distributions. In Image Processing (ICIP), 2013 20th IEEE International Conference on (pp. 1423-1427). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2013.6738292

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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.",

author = "Pappas, {Odysseas A} and Nantheera Anantrasirichai and Nicholson, {Lindsay B} and Morgan, {James E} and Irina Erchova and Achim, {Alin M}",

year = "2013",

doi = "10.1109/ICIP.2013.6738292",

language = "English",

pages = "1423--1427",

booktitle = "Image Processing (ICIP), 2013 20th IEEE International Conference on",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Pappas, OA , Anantrasirichai, N , Nicholson, LB, Morgan, JE, Erchova, I & Achim, AM 2013, Curvelet domain image fusion of OCT and fundus imagery using convolution of Meridian distributions. in Image Processing (ICIP), 2013 20th IEEE International Conference on. Institute of Electrical and Electronics Engineers (IEEE), pp. 1423-1427. https://doi.org/10.1109/ICIP.2013.6738292

Curvelet domain image fusion of OCT and fundus imagery using convolution of Meridian distributions. / Pappas, Odysseas A ; Anantrasirichai, Nantheera ; Nicholson, Lindsay B et al.
Image Processing (ICIP), 2013 20th IEEE International Conference on. Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 1423-1427.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Curvelet domain image fusion of OCT and fundus imagery using convolution of Meridian distributions

AU - Pappas, Odysseas A

AU - Anantrasirichai, Nantheera

AU - Nicholson, Lindsay B

AU - Morgan, James E

AU - Erchova, Irina

AU - Achim, Alin M

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N2 - 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.

AB - 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.

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DO - 10.1109/ICIP.2013.6738292

M3 - Conference Contribution (Conference Proceeding)

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BT - Image Processing (ICIP), 2013 20th IEEE International Conference on

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Curvelet domain image fusion of OCT and fundus imagery using convolution of Meridian distributions

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