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基于神经网络的视觉图像处理研究
引用本文:时君伟,胡敏英,武志富,任振辉.基于神经网络的视觉图像处理研究[J].安徽农业科学,2009,35(19):9300-9302.
作者姓名:时君伟  胡敏英  武志富  任振辉
作者单位:河北农业大学机电工程学院,河北保定,071001
摘    要:近几年,随着神经网络理论的深入研究,人们对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有了充分的认识,各种神经网络模型在图像处理领域中得到了广泛的应用。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综述,根据图像处理的具体内容进行了分类叙述,阐明了神经网络技术在图像处理领域中的优点和不足,并对将来神经网络技术在图像处理领域中的应用提出了展望。

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  图像识别

Research on the Visual Image Processing Based on Neural Network
Institution:Jun.wei et al ( College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding, Hebei 071001 )
Abstract:In recent years,with the deeply research of the neural network theory, the advantages of neural network technology such as parallel calculating abilities, nonlinear mapping and adaptive ability got sufficient recognition , various neural network models applied in image processing area widely.The application of some popular neural network model was introduced and classified according to their concrete application.Its advantages and shortage were elucidated.Finally, some expectations for the application in image processing area of neural network technology in the future were given.
Keywords:Neural network  Image reconstruction  Image recovery  Image enhancement  Image reduction  Image segmentation  Feature extraction  Image recognition
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