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基于形态学和Hopfield神经网络的遥感图像边缘增强处理

Edge Enhancement of Remote Sensing Image Processing Based on Hopfield Neural Network and Morphology
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摘要 在遥感图像处理系统的特征提取处理模块中,针对传统方法抗噪性差、提取边缘宽且不连续等缺点,提出一种改进的形态学边缘检测算法和一种基于Hopfield神经网络的边缘增强算法,得到了清晰、连续的边缘检测效果. In the feature exraction and processing module of remote sensing image processing system,two algorithms are put forward against the anti-noise inefficiency,the large width and discontinuousness in traditional method.One is the improved checking algorithm and the other is the enhancing algorithm that is given to the edge of Hopfield neural network with which the clear and continuous checking effect of edge can be obtained.
作者 雷赟 吴为波
出处 《江西理工大学学报》 CAS 2010年第3期64-68,共5页 Journal of Jiangxi University of Science and Technology
关键词 遥感图像处理 图像增强 特征提取 模板匹配 remote sensing image processing image enhancement feature extraction template matching
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