3D EDGE-DETECTION USING RECURSIVE FILTERING - APPLICATION TO SCANNER IMAGES

This paper proposes a new algorithm for three-dimensional edge detection. This method is an extension to the 3D case of the optimal 2D edge detector recently introduced by R. Deriche (Int. J. Comput. Vison 1, 1987). It presents better theoretical and experimental performances than some classical approachs used at this date. Experimental results obtained on magnetic resonance images and on echographic images are shown. We stress that this approach can be used to detect edges in other multidimensional data, for instance 2D - t or 3D - t images. © 1991.