DocumentCode
894625
Title
The WMMR filters: a class of robust edge enhancers
Author
Longbotham, Harold ; Eberly, David
Author_Institution
Dept. of Eng., Texas Univ., San Antonio, TX, USA
Volume
41
Issue
4
fYear
1993
fDate
4/1/1993 12:00:00 AM
Firstpage
1680
Lastpage
1685
Abstract
The authors develop a class of filters called weighted majority of m values with minimum range (WMMRm) that have the same impulse rejection properties as the median. They demonstrate a subclass of these filters (WMMR) that may be optimized for edge enhancement in one dimension in that their output converges to the closest perfect edge. One of these filters is shown to restore a class of noisy edges to the closest perfect edge on one pass. Applications in one and two dimensions are discussed and a two-dimensional simulation is provided comparing the WMMR to other filters for smoothing and edge enhancement
Keywords
edge detection; filtering and prediction theory; image reconstruction; WMMR filters; edge reconstruction; image filtering; minimum range; one-dimensional applications; robust edge enhancers; two-dimensional simulation; Filtering; Impedance; Laboratories; Mathematics; Power harmonic filters; Robustness; Signal processing; Smoothing methods; Speech processing; Transfer functions;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.212743
Filename
212743
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