Shape-based interpolation of binary 3-D images using morphological skeletonization

In this paper, the morphological skeleton interpolation (MSI) algorithm is presented. It is an efficient shape-based interpolation method used for interpolating slices between successive slices of a 3D object. It is based on the well known mathematical morphology procedure of morphological skeletonization, that is used as a representation of an object. The proposed morphological skeleton matching process provides translation, rotation and scaling information at the same time. The interpolated slices preserve the shape of the original object slices, when the slices have similar shapes. It can also modify the shape of an object when the successive slices have not got similar shapes. Applications on artificial and real data are also presented