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Cited by 429

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

An adaptive Gaussian filter for noise reduction and edge detection

Deng, G., Cahill, L.W.·2005·1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference

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.>

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Metadata

Authors
Deng, G., & Cahill, L. W.
Venue
1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference
Publisher
IEEE
Published
2005-08-24
Pages
1615-1619
OpenAlex
W2533214323
Cited by
429
References
8
FWCI
1.82
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: An adaptive Gaussian filter for noise reduction and edge detection. https://app.cochat.ai/papers/10.1109/nssmic.1993.373563
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Deng, G., & Cahill, L. W. (2005). An adaptive Gaussian filter for noise reduction and edge detection. 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference. https://doi.org/10.1109/nssmic.1993.373563

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