摘要
在形态学梯度边缘检测算子的基础上,综合多结构元和多尺度算法的特性,提出了一种基于小波增强的多结构元、多尺度边缘检测方法,用不同取向的结构元素对图像进行多尺度检测,并综合各尺度下的边缘,得到了噪声存在下的理想边缘。实验表明,本文方法边缘定位准确、轮廓清晰,保留了更多的图像细节,具有较强的抗噪能力。
The multi-structure elements and multi-scale edge detection method is proposed based on image enhanced of wavelet transform. Four elements are used to detect multi-directional edges of image at different scales, The more ideal image edges under the environment of existing noise are obtained by integrating the edge characteristics for various scale. During computation the computation is reduced by simplifying the different scales structuring elements. The experiments show that compared with traditional morphological edge detection algorithms, the method possesses better edge locating ability and keeps the more edge details, but also the ability of noise interference restrained is stronger.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2007年第2期120-123,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(70371032)
国家教育部高等学校博士学科点专项科研基金资助项目(20020486035)
关键词
边缘检测
多尺度形态学
多结构元
形态梯度
小波变换
edge detection
multi-scale morphology
multi-structure elements
morphological gradient
wavelet transform
