DocumentCode
2310681
Title
Morphological filtering and convolution
Author
Sedaaghi, M.H. ; Wu, Q.H.
Author_Institution
Liverpool Univ., UK
Volume
1
fYear
1998
fDate
1-4 Sep 1998
Firstpage
235
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;
fLanguage
English
Publisher
iet
Conference_Titel
Control '98. UKACC International Conference on (Conf. Publ. No. 455)
Conference_Location
Swansea
ISSN
0537-9989
Print_ISBN
0-85296-708-X
Type
conf
DOI
10.1049/cp:19980233
Filename
727914
Link To Document