CAJ | 학술논문

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.
근궤년,수착신경망락이론적심입연구,인문대신경망락기술적병행성계산능력、비선성영사화자괄응능력등우점유료충분적인식,각충신경망락모형재도상처리영역중득도료엄범적응용.대각충류행적신경망락모형재도상처리영역중적응용진행료종술,근거도상처리적구체내용진행료분류서술,천명료신경망락기술재도상처리영역중적우점화불족,병대장래신경망락기술재도상처리영역중적응용제출료전망.
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.