Detection of the Corner Structures in Images by Scalable Masks

Abstract

Under consideration are the scalable masks for detection of corner structures in digital images which are used when processing by a window sliding through an image. The proposed matrices of masks of arbitrary size are constructed by adding rows and columns along the perimeter to the matrix of smaller masks. The submatrices remain unchanged, whereas some new elements are added by repeating the submatrix entries that preserve the structure of the corner. The algorithm can be used in processing visual data of robotics, aerial photography, and crystallography.