A minimum reliable scale selection in 3D images

Multi-scale analysis is often required in image processing applications because image features are optimally detected at different levels of resolution. With the advance of high-resolution 3D imaging, the extension of multi-scale analysis to higher dimensions is necessary. This paper extends an existing 2D scale selection method, known as the minimum reliable scale, to 3D volumetric images. Two applications of the 3D scale selection approach, 3D boundary detection and image enhancement by anisotropic diffusion, are illustrated.