3D Edge Detection Using Recursive Filtering: Application To Scanner Images

Abstract

A novel algorithm for three-dimensional edge detection is proposed. This method is an extension to the 3D case of the optimal 2D edge detector recently introduced by R. Deriche (1987). The authors present better theoretical and experimental performances than some classical approaches used previously. Experimental results obtained on magnetic-resonance images and on echographic images are shown. It is pointed out that this approach can be used to detect edges in other multidimensional data, for instance, 2D+t or 3D+t images.<>