关键词: 小波变换, 边缘检测, 差分算法, 图像融合

Abstract: The key to image edge detection is to suppress noises more effectively while detecting as much as possible the edges of image. For this purpose, this paper proposes an edge detection method based on the fusion of wavelet transform and morphology difference algorithm. The image is divided by wavelets, and then the algorithm of the wavelet modulus maxima is applied to the high frequency part of the image, so noises can be suppressed effectively. The morphology difference algorithm is applied to the low frequency part of the image, so weak edges can be detected with high quality. 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.

Key words: wavelet transform, edge detection, difference algorithm, image fusion