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多尺度多结构元素的悬浮颗粒物图像边缘检测
引用本文:刘红丽,赵正卿,谢群,徐沪萍. 多尺度多结构元素的悬浮颗粒物图像边缘检测[J]. 武汉理工大学学报(信息与管理工程版), 2011, 33(3): 346-348,378. DOI: 10.3963/j.issn.1007-144X.2011.03.003
作者姓名:刘红丽  赵正卿  谢群  徐沪萍
作者单位:武汉理工大学,自动化学院,湖北武汉,430070
基金项目:湖北省自然科学基金资助项目,中央高校基本科研业务费专项资金资助项目
摘    要:针对不同形状结构元素对颗粒物图像边缘的不同感应能力,小尺度的结构元素去噪声能力弱但能较好地检测到边缘细节,以及大尺度的结构元素检测的边缘较粗但去除噪声能力强等特点,提出了一种多尺度多结构元素的数学形态学颗粒物图像边缘检测方法,同时采用不同尺度下的多个结构元素的边缘检测算子,实现颗粒物图像的各种边缘检测。实验结果表明,这种边缘检测方法能有效地滤除噪声,且抗干扰能力较强。

关 键 词:室内悬浮颗粒物  多尺度多结构元素  边缘检测  数学形态学

Suspending Particle Edge Detection Method with Multi-scale and Multi-structural Elements
LIU Hongli,ZHAO Zhengqing,XIE Qun,XU Huping. Suspending Particle Edge Detection Method with Multi-scale and Multi-structural Elements[J]. Journal of Wuhan University of Technology(Information & Management Engineering), 2011, 33(3): 346-348,378. DOI: 10.3963/j.issn.1007-144X.2011.03.003
Authors:LIU Hongli  ZHAO Zhengqing  XIE Qun  XU Huping
Affiliation:LIU Hongli,ZHAO Zhengqing,XIE Qun,XU Huping LIU Hongli:Assoc.Prof.,School of Automation,WUT,Wuhan 430070,China
Abstract:Different structural elements have different detecting abilities to the image edges.The small-scale structural elements have better edge details but less denoising ability;the large-scale structural elements are equipped for higher denoising ability but rougher image edges.A mathematical morphology edge detection method was put forward with multi-scale and multi-structural elements.It can achieve a variety of particle image edge detection with different scales structural elements.Experiments show that the e...
Keywords:indoor suspending particle  multi-scale and multi-structural elements  edge detection  mathematical morphology  
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