Résumé
We present an efficient method to segment large 3d images that takes the whole 3-dimensional structure into account. We use a Union-Find data structure to record and maintain the necessary informations during the segmentation process. This structure leads to a volume labelling and facilitates interactive process by linking directly voxels to the volume they belong to. Moreover the global integration of all the data enhances the accuracy of statistical merging criteria.