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神经网络在图像处理中的应用
引用本文:许锋,卢建刚,孙优贤.神经网络在图像处理中的应用[J].信息与控制,2003,32(4):344-351.
作者姓名:许锋  卢建刚  孙优贤
作者单位:浙江大学工业控制技术国家重点实验室,浙江,杭州,310027
基金项目:国家自然科学基金(60084001),中法先进研究计划资助项目PRA S101-04
摘    要:近几年,随着神经网络理论的深入研究,神经网络技术的并行性计算能力、非线性映射和自适应能力等优点得到了充分的认识,各种神经网络模型在图像处理领域中得到了广泛的应用.本文对各种流行的神经网络模型在图像处理领域中的应用进行了汇总,根据图像处理的具体内容对这些应用进行分类叙述,阐明了神经网络技术在图像处理领域中的优点和不足之处,并对将来神经网络技术在图像处理领域中的应用提出了几点期望.

关 键 词:神经网络  图像重建  图像复原  图像增强  图像压缩  图像分割  特征提取
文章编号:1002-0411(2003)04-0344-08

APPLICATION OF NEURAL NETWORK IN IMAGE PROCESSING
XU Feng,LU Jian-gang,SUN You-xian.APPLICATION OF NEURAL NETWORK IN IMAGE PROCESSING[J].Information and Control,2003,32(4):344-351.
Authors:XU Feng  LU Jian-gang  SUN You-xian
Abstract:Neural network(NN) research has gone a long way in the past decade. The specialists in the image processing field have fully understood the advantages of neural network techniques such as the abilities of parallel computing, nonlinear mapping and self-adaptiveness, and applied a variety of neural network models into the image processing field. In this paper, we review many applications of neural network in image processing and discuss the present and future of neural network. All these applications are categorized according to the phases of image processing and discussed in detail. In conclusion of this paper, we list several disadvantages of neural network techniques, and bring forward the prospect of neural network techniques in the image processing field.
Keywords:neural network  image reconstruction  image recovery  image enhancement  image reduction  image segmentation  feature extraction  image recognition
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