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A Simple Neuro-Fuzzy Edge Detector for Digital Images Corrupted by Impulse Noise
A new neuro-fuzzy edge detector for digital images corrupted by impulse noise is presented. The structure of the detector is very simple and comprises four identical neuro-fuzzy subdetectors and a postprocessor. The internal parameters of the detector are determined by training. The detector efficie...
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Published in: | International journal of electronics and communications 2004-01, Vol.58 (1), p.72-75 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | A new neuro-fuzzy edge detector for digital images corrupted by impulse noise is presented. The structure of the detector is very simple and comprises four identical neuro-fuzzy subdetectors and a postprocessor. The internal parameters of the detector are determined by training. The detector efficiently extracts edges in digital images corrupted by impulse noise without requiring the filtering of the noise. |
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ISSN: | 1434-8411 1618-0399 |
DOI: | 10.1078/1434-8411-54100209 |