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Video endoscopy is one of the standard clinical procedures for visually detecting lesions on the internal wall of human bladders. In order to facilitate the diagnosis, it is helpful to build panoramic maps by registering consecutive images from the video sequence. We show how to efficiently reduce the computation time of graph cut based image registration(More)
In white light cystoscopy, bladder images are characterized by a strong texture and scene illumination variability which complicates image mosaicing. State-of-art methods exhibit high image registration accuracy at the expense of computational time. We propose an algorithm which selects either a feature based method or an optical flow method according to(More)
In this comprehensive investigation, we studied three different neurorrhaphy models in an attempt to elucidate the potential of termino-lateral nerve repair to original and adjacent nerves. In experimental group 1, the peroneal nerve was sectioned and then attached to the posterior tibial nerve in a termino-lateral fashion. In experiment group 2, the motor(More)
When image primitives cannot be robustly extracted, the estimation of a perspective transformation between overlapping images can be formulated as a markov random field (MRF) and minimized efficiently using graph cuts. For well contrasted images with low noise level, a first order MRF leads to an accurate and robust registration. With increasing noise(More)
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