摘要
提出一种Canny法与小波变换相结合的边缘检测方法.首先,对源图像进行小波分解,在不同分解层上对高频子图像用小波模极大法进行边缘检测,对低频子图像用Canny法进行边缘检测,然后采用一定的融合规则将这两个边缘图像融合在一起,得到一幅完好的边缘图像.这种边缘检测方法结合了小波变换法和Canny法的优点,对用不同方法得到的两种边缘信息进行融合,从而有效地抑制了噪声,保留了连续、清晰的边缘.实验结果表明,这种结合方法要优于单独使用Canny法或小波变换法.
An edge detection approach combining Canny with wavelet transform is proposed. The source image is decomposed by wavelet and, on the different decomposition levels, the edges of low-frequency sub-images are detected using Canny operator, while the edgesof high-frequency sub-images are detected using wavelet transform method, Then, the two edge images are fused into one complying with relevant rules to obtain an integrated and clear edge image, This edge detection method combines the advantages of both wavelet transform and Canny methods together to fuse the two edge information obtained by different methods, thus suppressing effectively the noises with the consecutive and clear edges kept up, Experimental results sbowed that the approach is superior to either Canny method or wavelet transform method used alone,
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2005年第12期1131-1133,共3页
Journal of Northeastern University(Natural Science)
基金
公安部重点项目(20029322301)
黑龙江省自然科学基金资助项目(F0318)
