An Improved Prewitt Algorithm for Edge Detection Based on Noised Image
In this paper ,an improved Prewitt algorithm for edge detection is proposed for the reason that the traditional Prewitt edge detection algorithm is sensitive to the noise. The traditional Prewitt edge detection operator only has two templates with horizontal and vertical directions. While the edge is in a plurality of directions, so operator with eight templates of different directions is put forward and it can detect more edges. In order to improve the capability of resisting noise, this paper put forward three improvements. First of all, the mean value rather than the maximum value of the gradient magnitude of the eight directions is used as the final gradient magnitude. Secondly, OTSU automatic threshold is used to set the gradient magnitude threshold. Again, an 8-neighborhood template is proposed to remove the isolated single pixel noise. The experimental results show that the improved algorithm improves the and noise performance greatly, and detects the edges of the random noised image effectively.
Prewitt edge detection OTSU automatic threshold eight-neighborhood denoising
Lei Yang Dewei Zhao Xiaoyu Wu Hui Li Jun Zhai
Digital Media Department. Communication University of China Beijing, China Digital Media Department. Communication Universityof China Beijing, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1211-1214
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）