一种抑制脉冲噪声的边缘检测算法  

An edge detection algorithm of suppression impulse noise

作　　者：沈德海[1] 鄂旭[1] 张龙昌[1] 

机构地区：[1]渤海大学信息科学与技术学院,辽宁锦州121013

出　　处：《电子设计工程》2015年第9期93-96,共4页Electronic Design Engineering

基　　金：辽宁省高等学校实验室项目(L2012397);博士后基金项目(2012M520158);辽宁省"百千万人才工程"资助项目(2012921058);教育厅科研一般项目(L2012400)

摘　　要：提出了一种针对脉冲噪声图像的边缘检测算法,算法借鉴了中值滤波的思想,并采用十字型卷积模板计算图像梯度。首先,对参与图像中梯度计算的像素点进行阈值判断,如果是噪声点,该点像素值用3x3窗口中值滤波结果值替代,然后参与梯度计算,如果不是噪声点则直接参与梯度计算;其次对梯度图像进行细化和二值化以提取边缘图像。实验证明,本文算法对脉冲噪声污染图像边缘检测效果良好,较好地抑制了脉冲噪声的影响,而且提取的图像边缘较细,轮廓清晰。和传统的边缘检测算法及基于小波模变换的边缘检测算法相比,算法在抑噪能力上和边缘提取效果上均比较优秀。The paper proposed an edge detection algorithm aiming at impulse noise image, the algorithm references traditional median filter idea, and uses cross convolution template to calculate image gradienL First, takes judgment for each point attending gradient calculation in image by threshold, if it is noise point, its pixel value will be replaced by result of median filter with 3x3 windows, and then participates in the gradient calculation. If the point is non-noise point, will directly participates calculation with its pixel value. Second,we refine the gradient image, and extract the image edge. Experiments show that the new algorithm has good detection effect and suppressing noise performance, the image edge of exaction is fine, the outline is clear. Compared with the traditional edge detection algorithm and wavelet transform edge detection algorithm, this algorithm is relatively good on suppression noise ability and edge effect.

关 键 词：边缘检测 脉冲噪声 梯度 中值滤波 

分 类 号：TN911.73[电子电信—通信与信息系统]