Title :
Morphological filtering and convolution
Author :
Sedaaghi, M.H. ; Wu, Q.H.
Author_Institution :
Liverpool Univ., UK
Abstract :
This paper presents a new class of nonlinear filtering for 1D and 2D periodic signals buried in noise. Morphological filters are convolved with proper transfer function. The resulted filter, called convolved morphological filter, shows better performance both in time and frequency domain, compared with the performance of individually applied MF and convolution
Keywords :
nonlinear filters; 1D periodic signals; 2D periodic signals; convolution; convolved morphological filter; frequency-domain performance; noise; proper transfer function; time-domain performance;
Conference_Titel :
Control '98. UKACC International Conference on (Conf. Publ. No. 455)
Conference_Location :
Swansea
Print_ISBN :
0-85296-708-X
DOI :
10.1049/cp:19980233
