Skin image mosaicing: a comparative study of optical flow methods
Résumé
Skin image mosaicing is an important task, but only few work has been published in this domain. Large field of view mosaics of cutaneous surfaces facilitate diagnosis and is unavoidable in the context of tele-medicine. This explatory (and feasibility) study compares the performances of three optical flow methods (a local method, a global graph-cut method and a total variational approach) in the frame of skin image mosaicing. Both quantitative and qualitative results are given, respectively on phantom data with known ground truth and on patient data.
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