光电工程, 2008, 35 (2): 85, 网络出版: 2010-03-01  

新颖的CB形态学串并复合散斑噪声滤波器

Novel CB Morphological Series-parallel Complex Filter for Suppressing Speckle Noise
作者单位
1 西北工业大学 空中交通管理系统研究所,西安 710072
2 西安交通大学 电信学院,西安 710049
摘要
基于轮廓结构元素形态学(CB形态学)和广义多结构元素的数学形态学,构造了一种新颖的用于抑制图像中的散斑噪声的串并复合滤波器。首先采用全方位多结构元素的广义多刻度形态开最大滤波器与广义多刻度形态闭最小滤波器相并联的滤波器进行滤波,力求在滤波的同时图像几何细节损失尽可能少,然后通过级联的CB开和CB闭滤波器,再滤除剩余的斑点噪声,从而在有效抑制图像中的散斑噪声的同时更好地保持了图像的细节信息。分析和仿真表明了本文提出的滤波算法的有效性。
Abstract
Based on Contour Bougie morphology (CB morphology) and generalized multiple structuring elements morphology,a novel series-parallel complex morphological filter was constructed for suppressing the speckle noise in images.Firstly,an omnidirectional multiple structuring element morphology open-Max and close-Min parallel filter was adopted to filter the noise at the cost of minimal loss of image geometrical details,and then a CB morphology open and close operation series filter was used to filter the remaining speckle noise.Thus,it can not only effectively suppress the speckle noise in images but also preserve more geometrical structure features of the images.The results of analysis and simulation prove that the algorithm presented in the paper is efficient.
参考文献

[1] 蒋立辉,耿蒙,赵春晖.基于广义形态滤波和模糊逻辑的散斑噪声抑制[J].红外与激光工程,2005,34(1):80-83.JIANG Li-hui,GENG Meng,ZHAO Chun-hui.Speckle Suppressing Based on Generalized Morphological Filter and Fuzzy Logic[J].Infrared and Laser Engineering,2005,34(1):80-83

[2] Crespo J,Maojo V.New Results on the Theory of Morphological Filters by Reconstruction[J].Pattern Recognition,1998,31(4):419-429

[3] 陈虎,周朝辉,王守尊.基于数学形态学的图像去噪方法研究[J].工程图学学报,2004,23(3):116-119.CHEN Hu,ZHOU Zhao-hui,WANG Shou-zun.Research Based on Mathematics Morphology Image Chirp Method[J].Journal of Engineering Graphics,2004,23(3):116-119

[4] ZHENG Ming-jie,LIU Xian-feng,YANG Ru-liang.Speckle Reduction for SAR Images Based on Soft-morphological Filter with Omni-directional Multiple Structuring Elements[C]// CIE International Conference of Radar Proceedings.Beijing:Chinese Institute of Electronics(CIE),2001:928-932

[5] 龚炜,石青云,程民德.数字空间中的数学形态学-理论与应用[M].北京,科学出版社,1997.GONG Wei,SHI Qing-yun,CHENG Min-de.The Mathematical Morphology in Digital Space--Theories and Applications[M].BeiJing:Science Press,1997

[6] 赵春晖,王伟.全方位多结构元形态滤波器[J].中国图象图形学报,1997,2(7):500-503.ZHAO Chun-hui,WANG Wei.A New Morphological Filter with Omnidirectional Multiple Structuring Elements[J].Journal of Image and Graphics,1997,2(7):500-503

[7] 于秋则.合成孔径雷达SAR图像匹配导航技术研究[D].武汉:华中科技大学,2004.YU Qiu-ze.Research on Synthetic Aperture Radar(SAR) Image Matching for Navigation[D].Wuhan:Huazhong University of Science and Technology,2004

[8] 刘振华,于文震,毛士艺.SAR图像组合降斑算法[J].电子学报,2004,32(3):363-367.LIU Zhen-hua,YU Wen-zhen,MAO Shi-yi.Compounding Reconstruction for Synthetic Aperture Radar Images[J].Acta Electronica Sinica,2004,32(3):363-367

[9] Gonzalez Rafael C,Woods Richard E.数字图像处理(第二版)[M].阮秋琦,阮宇智,译.北京:电子工业出版社,2003.Gonzalez Rafael C,Woods Richard E.Digital Image Processing(Second Editing)[M].RUAN Qiu-qi,RUAN Yu-zhi.Beijing:Publishing House of Electronics Industry,2003

[10] Dewaele P,Wambacq P,Oosterlinck A,et al.Comparison of Some Speckle Reduction Techniques for SAR Images[C]//IGRASS'90.Maryland:the University of Maryland College Park,1990:2417-2422

亢洁, 史忠科, 杨刚. 新颖的CB形态学串并复合散斑噪声滤波器[J]. 光电工程, 2008, 35(2): 85. KANG Jie, SHI Zhong-ke, YANG Gang. Novel CB Morphological Series-parallel Complex Filter for Suppressing Speckle Noise[J]. Opto-Electronic Engineering, 2008, 35(2): 85.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!