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用前向网实现噪声图象的边缘提取
引用本文:王磊,莫玉龙,戚飞虎.用前向网实现噪声图象的边缘提取[J].上海大学学报(自然科学版),1996(5).
作者姓名:王磊  莫玉龙  戚飞虎
作者单位:上海交通大学,上海大学
摘    要:本文提出采用多层前向网及改进的BP算法,对经Canny最佳边缘检测算子处理噪声图象后得到的高、低门限图进行不连续轮廓的并行“修补”,能够较快地得到信噪比高的边缘图象.

关 键 词:边缘提取  前向网  改进BP算法

Detecting Noisy Images Edge by Feedforward Neural Network
Wang Lei,Mo Yulong,Qi Feihu.Detecting Noisy Images Edge by Feedforward Neural Network[J].Journal of Shanghai University(Natural Science),1996(5).
Authors:Wang Lei  Mo Yulong  Qi Feihu
Institution:Shanghai Jiaotong University Shanghai University
Abstract:This paper describes a method to detect noise-blurred image's edge by feedforward neural network with modified BP algorithm. Owing to neural network's parallel characteristic, non-continuous contour may be marked by low-thresholded image and high-thresholded image, both of which were obtained from Canny' s optimal edge operator, more quickly and precisely.
Keywords:Edge detection  feedfoward neural network  modified BP algorighm  
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