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A Simple Neuro-Fuzzy Edge Detector for Digital Images Corrupted by Impulse Noise

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Abstract:

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.

Document Type: Research Article

DOI: http://dx.doi.org/10.1078/1434-8411-54100209

Affiliations: Dept. of Electronics Eng./Civil Aviation School, Erciyes University, Kayseri, 38039, Turkey. yuksel@erciyes.edu.tr

Publication date: January 1, 2004

urban/541/2004/00000058/00000001/art00011
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