An Application of Morphological Edge Detection for Noisy Image

Image edge detection is the key technology of image processing. Edge extraction is always the most classically studied projects in the computer vision and image procession field. Traditional methods of edge detection are very sensitive to the image noise. And the operators of edge detection can not effectively remove image noise. In this paper, the applied research of the morphology is introduced in the noisy image. Although the operators of edge detection based on the classical morphological can remove the noise well. But the lines detected are fuzzy, and they can not fully reflect more edge details and can't reduce the noise impact to the largest degreed. The morphological algorithm improved based on the multi-structuring and multi-scale elements can remove the noise and improve the positioning precision of the image edge. Finally, through simulation results, analyze its properties and give the comparison to the operators of conventional edge detection and analyze its advantages and disadvantages.