A novel 3D skeleton algorithm based on neutrosophic cost function

A skeleton provides a synthetic and thin representation of three dimensional objects, and is useful forshape description and recognition. In this paper, a novel 3D skeleton algorithm is proposed based onneutrosophic cost function. Firstly, the distance transform is used to a 3D volume, and the distancematrix is obtained for each voxel in the volume.