Characterization and detection of edges by Lipschitz exponents and MASW wavelet transform
Yuan Yan Tang, Lihua Yang, Feng Li · 2002
This paper is an improvement of Mallat's work (1992). The characterization of edges by Lipschitz exponents and wavelet transform has been studied in this paper A significant property has been proved and applied to identify different structures of edges, and an algorithm with the modulus-angle-separated wavelets (MASW) has been developed in this paper to extract step-structure edges from a multistructure-edges image effectively. Experiments have been conducted and excellent results have been achieved.