Fusion-Based Algorithm of Edge Detection Combining Wavelet Transform with Morphology

An algorithm of edge detection is proposed combining wavelet transform with mathematical morphology and using a simple fusion strategy to locate image edges.In the wavelet domain the high-frequency sub-image edges are detected by solving the maximum points of local wavelet coefficient model to restore edges,while the low-frequency sub-image edges are detected by mathematical morphology.Then,both sub-image edges are fused according to certain rules and restructured through inverse wavelet transform.Experimental results showed that the fusion rules are simple with high generlizability,thus making the algorithm effective in noise control to regenerate well the image edges.So,it is an effective algorithm to detect image edges.