Detection of the corner structures in 3D arrays using scalable masks

Scalable masks for the selection of angular structures in three-dimensional (3D) digital images are considered, which are used in processing with a 3D window sliding over the image and convolved with image fragments. The model of scalable 3D mask was developed based on expanding smaller mask along its sides and edges. In this case, the submatrices remain unchanged, and new elements are added by repeating the elements of the submatrix, preserving the structure of the corner. This approach helps to design the hierarchical computations of 3D data.