Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic retinal image registration scheme using global optimization techniques
IEEE Transactions on Information Technology in Biomedicine
Matching of complex patterns by energy minimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An efficient image-mosaicing method based on multifeature matching
Machine Vision and Applications
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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.