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Settat, Morocco

El Meslouhi O.,of Hassan 1st University | Allali H.,of Hassan 1st University | Gadi T.,of Hassan 1st University | Ait Benkaddour Y.,Cadi Ayyad University | Kardouchi M.,University of Moncton
Proceedings of the 6th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2010 | Year: 2010

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. © 2010 IEEE. Source


El Meslouhi O.,of Hassan 1st University | Allali H.,of Hassan 1st University | Gadi T.,of Hassan 1st University | Kardouchi M.,University of Moncton
2010 5th International Symposium on I/V Communications and Mobile Networks, ISIVC 2010 | Year: 2010

This work presents a colposcopic image registration system able to help physicians for cervical cancer diagnosis. The goal is to make registration between the cervical tissue throughout the whole temporal sequence. Recent digital images processing works, suggested using feature points to compute the tissue displacement. These methods achieve good results, because they are fast and do not need any segmentation, but to date, all methods based on feature points are sensitive to light change and reflections which are frequently current in colposcopic images. To solve this problem, we propose to apply the opponentSIFT descriptor which describes features point in the opponent color space. Experimental results show the robustness of this descriptor in colposcopic images registration in comparison with other descriptors. © 2010 IEEE. Source

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