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Edge Detection and Registration of Retinal Images

J. Jasper Sweetlin, S. Beril, D. Raveena Judie Dolly

Abstract


The purpose of retinal image registration is to align the retinal images for helping the clinicians in perfect diagnosing of the retinal disease. Multimodal images are taken since information obtained from different scanners varies. Since there is always constant eye movement, it is practically impossible to replicate the imaging procedure exactly for both instruments which gives rise to the need for registering two modalities. Poor quality multimodal retinal images are registered in this paper. Detection of corner points should be performed before registering the image. So edge detection of the image helps in detecting the features i.e. the nerves which thereby helps in corner point detection of the image. Poor quality multimodal retinal images can be registered using a method called PIIFD (Partial Intensity Invariant Feature Descriptor).

Keywords


Edge Detection, Harris Corner Detector, Image Registration, Retinal Images, Transformation Modes

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References


Jian Chen, Jie Tian, Noah Lee, Jian Zheng, R. Theodore Smith, and Andrew F. Laine, “A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration,” IEEE Transaction on Biomedical Engineering, vol. 57, no. 7, July 2010.

Kexin Deng, Jie Tian, Jian Zheng, Xing Zhang, Xiaoqian Dai, and Min Xu, “ Retinal Fundus Image Registration via Vascular Structure Graph Matching,” International Journal of Biomedical Imaging Volume 2010.

P.A.Legg, P. L. Rosin, D. Marshall et al. “Incorporating neighbourhood feature derivatives with mutual information to improve accuracy of multi-modal image registration.” Medical Imaging Understanding and Analysis, pp. 39–43. 2008.

Tae Eun Choe, Gérard Medioni, “3-D Metric Reconstruction and Registration of Images of Near-planar Surfaces,” IEEE Transaction on Medical Imaging, 2007.

Tae Eun Choe, Isaac Cohen, Munwai Lee, Gérard Medioni, “Optimal Global Mosaic Generation from Retinal Images,”IEEE 18th International Conference on Pattern Recognition, 2006.

J. P.W. Pluim, J. B. A. Maintz, and M.A. Viergever, “Mutual-information based registration of medical images: a survey,” IEEE Transactions on Medical Imaging,vol. 22, no. 8, pp.986–1004, Aug. 2003.

F. Laliberte, L. Gagnon, and Y. Sheng, “Registration and fusion of retinal images-An evaluation study, “IEEE Transactions on Medical Imaging, vol. 22, no. 5, pp. 661–673, May 2003.

Jean-Michel Rouet, Jean-José Jacq, and Christian Roux, “Genetic Algorithms for a Robust 3-D MR-CT Registration,” IEEE Transaction on Information Technology in Biomedicine, vol. 4, no. 2, June 2000.

Miroslav Trajkovii, Mark Hedley, “Fast corner detection,” Image and Vision Computing .

Photomodeler, EOS Systems, www.photomodeler.com

N. Ritter, R. Owens, J. Cooper, R. Eikelboom, and P. van Saarloos, “Registration of stereo and temporal images of the retina,”IEEE Transactions on Medical Imaging vol. 18, no. 5, pp. 404–418, May 1999.

Hanene Trichili, Mohamed-Salim Bouhlel, Nabil Derbel, Lotfi Kamoun, “A Survey and Evaluation of Edge Detection Operators,” IEEE Application to Medical Images , 2002.

Mohamed Ali David Clausi, “The Canny Edge Detector for Feature Extraction and Enhancement of Remote Sensing Images Systems Design Engineering,” University of Waterloo, IEEE 2001.

John Canny, “A Computational Approach to Edge Detection,”IEEE, 1986.


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