DocumentCode :
2423790
Title :
An adaptive Gaussian filter for noise reduction and edge detection
Author :
Deng, G. ; Cahill, L.W.
Author_Institution :
Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia
fYear :
1993
fDate :
31 Oct-6 Nov 1993
Firstpage :
1615
Abstract :
Gaussian filtering has been intensively studied in image processing and computer vision. Using a Gaussian filter for noise suppression, the noise is smoothed out, at the same time the signal is also distorted. The use of a Gaussian filter as pre-processing for edge detection will also give rise to edge position displacement, edges vanishing, and phantom edges. Here, the authors first review various techniques for these problems. They then propose an adaptive Gaussian filtering algorithm in which the filter variance is adapted to both the noise characteristics and the local variance of the signal
Keywords :
adaptive filters; computer vision; edge detection; image processing; adaptive Gaussian filter; edge detection; edge position displacement; noise reduction; noise suppression; phantom edges; preprocessing; signal local variance; vanishing edges; Adaptive filters; Computer vision; Digital filters; Distortion; Filtering algorithms; Gaussian noise; Image edge detection; Image processing; Imaging phantoms; Noise reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference, 1993., 1993 IEEE Conference Record.
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-1487-5
Type :
conf
DOI :
10.1109/NSSMIC.1993.373563
Filename :
373563
Link To Document :
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