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This paper presents a medical imaging system able to assist practitioner to analyze colposcopic images. The goal is to automatically make all images to a common frame. Image registration has been used to ensure pixel correspondence to the same tissue location throughout the whole temporal sequence. Best approaches are based on using local information, but they are very sensitive to light change and reflections which are frequently current in colposcopic images. In this paper, we propose an approach less sensitive to these variations, moreover, it works well even if reflections are present in colposcopic images. The efficiency and the robustness of the method for colposcopic images are demonstrated.