An Application of Morphological Edge Detection for Noisy Image
Image edge detection is the key technology ot 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 cant 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.
edge detection mathematical morphology noisy image structural elements
Zhang Hongqun Sun Xiaofei
College of Electronic & Information Engineering,Nanjing University of Information Science & Technology,Nanjing,210044 China
国际会议
厦门
英文
557-561
2010-05-22（万方平台首次上网日期，不代表论文的发表时间）