Approximating Binary Object Skeletonization with Pixel-Level Asynchronous Propagation
Conference: CNNA 2018 - The 16th International Workshop on Cellular Nanoscale Networks and their Applications
08/28/2018 - 08/30/2018 at Budapest, Hungary
Proceedings: CNNA 2018
Pages: 4Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Paasio, Ari; Poikonen, Jonne K. (Department of Future Technologies, University of Turku, Turku, Finland)
In this paper, we introduce a method for performing approximate skeletonization of binary images by using an asynchronous 2D binary propagation network. The application and adaptation of a previously proposed 2D single-pixel extraction network for the more complex operation of object skeletonization and the required preprocessing of the binary image are examined. Matlab simulations, with a network model which ensures correspondence with a transistor-level IC implementation, are presented. The results show that the proposed method can successfully approximate the skeletonization operation for natural image shapes and significant trade-offs in implementation complexity are possible, depending on application needs.