Mosaicing the Retinal Fundus Images: A Robust Registration Technique Based Approach
Mosaicing fundus retinal images is fundamental to reveal helpful information of the eyes in order to track the progress of possible diseases. We propose the use of a simple rigid model to globally match vascular trees via a multi-resolution scheme. An elastic matching algorithm is employed to achieve accurate local alignment. We build mosaic maps by merging gray intensities of pixels from different fundus images at the same transformed locations with arithmetic average operation. Experiment results show that successful matching can be achieved with improved accuracy and the mosaic maps seem perfect in terms of visual inspection.
KeywordsFeature Point Retinal Image Vascular Tree Fundus Image Optimal Transformation
Unable to display preview. Download preview PDF.
- 1.Singer, D.E., Nathan, D.M., Fogel, H.A., Schachar, A.P.: Screening for diabetic retinopathy. Ann. Intern. Med. 116, 660–671 (1992)Google Scholar
- 4.Fang, B., Hsu, W., Lee, M.L.: Reconstruction of vascular structures in retinal images. In: Proceedings ICIP 2003, Barcelona, Spain (September 2003)Google Scholar