期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 36, 期 2, 页码 2645-2650出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2008.01.082
关键词
Cellular neural networks; Cloning template; Differential evolution algorithm; Edge detection
A cellular neural network (CNN) based edge detector optimized by differential evolution (DE) algorithm is presented. Cloning template of the proposed CNN is adaptively tuned by using simple 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 CNN operator outperforms competing edge detectors and offers Superior performance in edge detection in digital images. (C) 2008 Elsevier Ltd. All rights reserved.
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