DocumentCode :
1443504
Title :
Color image processing using adaptive vector directional filters
Author :
Plataniotis, K.N. ; Androutsos, D. ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Volume :
45
Issue :
10
fYear :
1998
fDate :
10/1/1998 12:00:00 AM
Firstpage :
1414
Lastpage :
1419
Abstract :
A new class of filters for multichannel image processing is introduced and analyzed. This class constitutes a generalization of vector directional filters. The proposed filters use fuzzy transformations of the angles among the different vectors to adapt to local data in the image. The principle behind the new filters is explained and comparisons with other popular nonlinear filters are provided. The specific case of color image processing is studied as an important example of multichannel image processing. Simulation results indicate that the new filters offer some flexbility and have excellent performance
Keywords :
adaptive filters; adaptive signal processing; colour; filtering theory; fuzzy set theory; image processing; nonlinear filters; adaptive vector directional filters; color image processing; fuzzy transformations; multichannel image processing; nonlinear filters; Adaptive filters; Color; Filtering; Gaussian noise; Image analysis; Image edge detection; Image processing; Noise level; Nonlinear filters; Smoothing methods;
fLanguage :
English
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7130
Type :
jour
DOI :
10.1109/82.728854
Filename :
728854
Link To Document :
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