Edge detection in noisy images by neuro-fuzzy processing

被引：26

作者：

Yuksel, M. Emin ^{[1
]}

机构：

[1] Erciyes Univ, Digital Signal & Image Proc Lab, Dept Elect & Elect Engn, TR-38039 Kayseri, Turkey

来源：

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS | 2007年 / 61卷 / 02期

关键词：

neuro-fuzzy systems; image processing; edge detection;

D O I：

10.1016/j.aeue.2006.02.006

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel neuro-fuzzy (NF) operator for edge detection in digital images corrupted by impulse noise is presented. The proposed operator is constructed by combining a desired number of NF subdetectors with a postprocessor. Each NF subdetector in the structure evaluates a different pixel neighborhood relation. Hence, the number of NF subdetectors in the structure may be varied to obtain the desired edge detection performance. Internal parameters of the NF subdetectors are adaptively optimized by training by using simple artificial training images. The performance of the proposed edge detector is evaluated on different test images and compared with popular edge detectors from the literature. Simulation results indicate that the proposed NF operator outperforms competing edge detectors and offers superior performance in edge detection in digital images corrupted by impulse noise. (c) 2006 Elsevier GmbH. All rights reserved.

引用

页码：82 / 89

页数：8

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