analysis of texture skeletonization algorithms for images of inhomogeneous irregular textures was solved. Was developed quality criterion which uses information about the number of skeleton texture branches, which depends on the number of boundary points of the skeleton. Software that implements the discussed skeletonization algorithms and allows to rank them according to selected criteria was developed. The experimental results allow us to recommend the algorithm of Zhang-Suen for practical use to solve the problem of image skeletonization of inhomogeneous irregular textures.
texture recognition, identification, skeletonization, medial axis transformation, Zhang-Suen method, Guo-Hall method.