  Bladder cancer is widely spread in the world. Many adequate diagnosis
techniques exist. Video-endoscopy remains the standard clinical procedure for
visual exploration of the bladder internal surface. However, video-endoscopy
presents the limit that the imaged area for each image is about nearly 1cm2.
And, lesions are, typically, spread over several images. The aim of this
contribution is to assess the performance of two mosaicing algorithms leading
to the construction of panoramic maps (one unique image) of bladder walls. The
quantitative comparison study is performed on a set of real endoscopic exam
data and on simulated data relative to bladder phantom.
