摘要
提出一种基于图像融合的边缘检测算法。首先对源图像进行小波分解,在不同分解层用小波模极大值法对高频子图像进行边缘检测,用数学形态学对低频子图像进行边缘检测,然后采用一定的融合规则将这两个边缘检测图像融合在一起。实践结果表明,这种方法优于单独使用小波模极大值法或数学形态学法,对噪声具有很好的鲁棒性,得到的图像边缘连续、清晰。
An edge detection algorithm based on image fusion is proposed. First, the source image is decomposed by wavelet, using wavelet modulus maxima algorithm extracts edges in high-frequency images on the different levels and using mathematical morphological method extracts edges in low-frequency image, then the two edge images are fused according to some fusion rules. The experimental results show that the approach is superior to wavelet modulus maxima algorithm or mathematical morphological method alone and is good robust to noise and the edge is consecutive and clear .
出处
《机电产品开发与创新》
2009年第6期105-106,109,共3页
Development & Innovation of Machinery & Electrical Products
关键词
小波变换
数学形态学
边缘检测
图像融合
wavelet transform
mathematical morphology
edge detection
image fusion
