灰度图像的自适应边缘检测  

Gray image self-adaptable edge detection

作　　者：邢果[1] 戚文芽[1] 李萍[1] 陈季安[1] 

机构地区：[1]信息工程大学信息工程学院,郑州450002

出　　处：《计算机工程与应用》2007年第5期63-66,136,共5页Computer Engineering and Applications

摘　　要：提出利用灰度图像的均方差直方图实现自适应多尺度高斯滤波,实现在去噪的同时保留图像边缘特征,并通过灰度图像梯度特征信息,自适应生成动态阈值,对边缘进行自动检测,克服了传统Canny算子参数需要人为设定的不足。实验结果表明,与传统Canny算子相比,该方法可有效保留边缘信息,更具实用性。It introduces an adaptive muhiscale Gauss filter by using intensity image＇s mean square value histogram,which can remove noise and remain edge character.It self-adaptably generates thresholds by intensity image＇s gradient character information, and detects edge automatically.h overcomes the shortcoming of traditional Canny operator,which parameters need to be set by manual.Experiments show that,compared with the traditional Canny operator,this method can keep edge information well,and has better practicability.

关 键 词：边缘检测 CANNY算子 多尺度 直方图 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]