DocumentCode
1415530
Title
Weighted morphological filter
Author
Sedaaghi, M.H. ; Wu, Q.H.
Author_Institution
Dept. of Electr. Eng. & Electron., Liverpool Univ., UK
Volume
34
Issue
16
fYear
1998
fDate
8/6/1998 12:00:00 AM
Firstpage
1566
Lastpage
1567
Abstract
A novel morphological filter using weighted morphological operators is presented. The newly introduced operators employ a weighted structuring element and apply multiplication or division in place of addition and subtraction in classical morphological operations. Experimental results prove that the new operators´ performance dominates those of classical operators for signals/images buried in salt & pepper, speckle and Gaussian noise
Keywords
Gaussian noise; filtering theory; image enhancement; mathematical morphology; random noise; signal processing; Gaussian noise; division; images; multiplication; salt/pepper noise; signals; speckle noise; weighted morphological filter; weighted morphological operators;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19981117
Filename
707139
Link To Document