| Hopfield neural network and its applications on image edge detection |
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| 作者姓名： | 张永宏 胡德金 张凯 徐俊杰 |
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| 作者单位： | School of Mechanical and Power Engineering，Shanghai Jiaotong University，Shanghai 200030，School of Mechanical and Power Engineering，Shanghai Jiaotong University，Shanghai 200030，School of Mechanical and Power Engineering，Shanghai Jiaotong University，Shanghai 200030，School of Mechanical and Power Engineering，Shanghai Jiaotong University，Shanghai 200030 |
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| 基金项目： | This work was supported by the Foundation of Shanghai Technology Committee under Grant No. 021111125. |
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| 摘 要： | A method of image edge detection using the Hopfield neural network (HNN) is proposed in this paper.The image edge parameters are introduced in detail,and the energy function of HNN is given based on the edge parameters.Tests on the image edge detection show that images detected by the proposed method have good edge closeness and true edge,at the same time it has good anti-noise performance. The image edge detection using HNN is better than that obtained by some other edge detection operators.
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