Cattin PC Bay H Van Gool L Székely G 2006 Laser photocoagulation is a proven procedure to treat various pathologies of the retina. Challenges such as motion compensation, correct energy dosage, and avoiding incidental damage are responsible for the still low success rate. They can be overcome with improved instrumentation, such as a fully automatic laser photocoagulation system. In this paper, we present a core image processing element of such a system, namely a novel approach for retina mosaicing. Our method relies on recent developments in region detection and feature description to automatically fuse retina images. In contrast to the state-of-the-art the proposed approach works even for retina images with no discernable vascularity. Moreover, an efficient scheme to determine the blending masks of arbitrarily overlapping images for multi-band blending is presented. application/pdf https://sonar.ch/global/documents/67129 eng info:eu-repo/semantics/altIdentifier/doi/10.1007/11866763_23 info:eu-repo/semantics/altIdentifier/pmid/17354771 info:eu-repo/semantics/openAccess Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. - 2006 Algorithms Artificial Intelligence Humans Image Enhancement Image Interpretation, Computer-Assisted Information Storage and Retrieval Motion Ophthalmoscopy Pattern Recognition, Automated Photography Reproducibility of Results Retina Sensitivity and Specificity Retina mosaicing using local features. http://purl.org/coar/resource_type/c_6501