| 一种新的基于信息测度和神经网络的边缘检测方法 |
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| 引用本文： | 杨海军,梁德群. 一种新的基于信息测度和神经网络的边缘检测方法[J]. 电子学报, 2001, 29(1): 51-53 |
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| 作者姓名： | 杨海军 梁德群 |
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| 作者单位： | 1. 西安交通大学图像处理与识别研究所,西安 710049;2. 大连海事大学信息工程学院,大连 116026 |
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| 摘 要： | 本文构造了不同的信息测度来定量描述阶跃边缘的三个本质特征,并给出由相应的三个分量组成的特征向量.用人工得到的样本对一BP神经网络进行训练,将训练后的神经网络直接用于图像的边缘检测.本文方法无需定阈值;在特征的选取上充分考虑了边缘和噪声的本质区别,具有优异的抗噪性能.实验证明本文方法具有令人满意的效果.
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| 关 键 词： | 边缘检测 阶跃边缘 神经网络 信息测度 |
| 文章编号： | 0372-2112(2001)01-0051-03 |
| 收稿时间： | 1999-11-01 |
A New Method of Edge Detection Based on Information Measure and Neural Network |
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| YANG Hai-jun,LIANG De-qun. A New Method of Edge Detection Based on Information Measure and Neural Network[J]. Acta Electronica Sinica, 2001, 29(1): 51-53 |
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| Authors: | YANG Hai-jun LIANG De-qun |
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| Affiliation: | 1. Institute of Image Processing and Recognition,Xi'an Jiaotong University,Xi'an 710049,China;2. College of Information Engineering,Balian Maritime University,Dalian 116026,China |
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| Abstract: | In this paper,from the natural characters of step edge of image,we proposed a feature vector that consists of 3 components based on the information measure accordingly.Firstly.a BP neural network is trained with some samples that have been classified by manual work,and then extract edge proints in a new image using the trained neural network.Our method does not need any threshold and has better anti noise performance since the influence of noise is adequately considered when the feature vector is settled.The effectiveness of this algorithm has been testified by some experiments in this paper. |
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| Keywords: | edge detection step edge neural network information measure |
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