| 用改进的BP网络进行图像边缘检测 |
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| 引用本文： | 尹淑玲,李雪.用改进的BP网络进行图像边缘检测[J].地理空间信息,2007,5(5):48-50. |
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| 作者姓名： | 尹淑玲 李雪 |
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| 作者单位： | 1. 武汉科技大学中南分校信息工程学院,湖北武汉,430223
2. 武汉大学遥感信息工程学院,湖北武汉,430079 |
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| 基金项目： | 国家重点基础研究发展计划(973计划) |
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| 摘 要： | 由于噪声的干扰,常规的图像边缘检测方法往往效果不佳,因此提出了一种基于改进BP网络的边缘检测方法。在充分考虑边缘和噪声本质区别的基础上,构造具有较强抗噪能力的特征向量,然后用样本图像对四层BP网络采用改进BP算法进行训练。最后,将训练后的网络用于图像的边缘检测。实验证明这种方法是有效的。
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| 关 键 词： | 边缘检测 图像特征 改进BP算法 |
| 文章编号： | 1672-4623（2007）05-0048-02 |
| 修稿时间： | 2006-12-05 |
Edge Detection of Image Based on Improved BP Network |
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| YIN Shuling,LI Xue.Edge Detection of Image Based on Improved BP Network[J].Geospatial Information,2007,5(5):48-50. |
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| Authors: | YIN Shuling LI Xue |
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| Institution: | 1. School of Information Engineering, Zhongnan Branch, Wuhan University of Science and Technology, Wuhan 430223, China; 2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China |
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| Abstract: | A kind of edge detection method is presented,which trains the BP neural network by an improved BP algorithm. Disturbed by noise,edge of image can not be detected finely by normal method. Therefore the essential differences between noise and edge are fully considered while selecting the image features and forming feature vector. The experiment use sample image to train BP neural network,then this trained network is used to detect images' edge. The experimental results show that this method is very effective. |
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| Keywords: | edge detection of image image features improved BP algorithm |
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