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BP神经网络图象边缘检测器及其内部信息
引用本文:冯天瑾.BP神经网络图象边缘检测器及其内部信息[J].中国海洋大学学报(自然科学版),1994(Z2).
作者姓名:冯天瑾
摘    要:介绍用神经网络实现图象边缘检测的实验研究结果。一幅数字图象用一个规模不大的BP网络边缘检测器处理小邻区,再用扫描此图象的方法进行边缘检测。此方法之最大优点是设计简单,网络边缘检测器的性能也令人满意.欠缺是:学习时间长,神经网络隐层中权重包含的信息难于解释清楚。

关 键 词:图象边缘检测,神经网络边缘检测器,多参数函数逼近,卷积核

BP NEURAL NETWORK IMAGE EDGE DETECTOR AND ITS INTERNAL INFORMATION
Feng Tianjin.BP NEURAL NETWORK IMAGE EDGE DETECTOR AND ITS INTERNAL INFORMATION[J].Periodical of Ocean University of China,1994(Z2).
Authors:Feng Tianjin
Institution:Electrical Engineering Department
Abstract:A number of experiments were carried out to investigate the application of neural networks for edge detection. An image can be detected by scanning the image,and processing each local neighbourhood with the BP network edge delector. One of the greatest advantages of using neural networks is that they are easy to design,and the performance of the neural edge detector seems to be quite acceptable. But the learning time can be very long and the internal information of the weights in the hidden layer is not easy to interpret.
Keywords:Image edge detection  neural network edge detector  multi-parameter function approximation  convolution kernels  
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