计算机应用 ›› 2011, Vol. 31 ›› Issue (03): 763-766.DOI: 10.3724/SP.J.1087.2011.00763

• 图形图像技术 • 上一篇    下一篇

基于非线性滤波的万有引力边缘检测方法

张春雪1,陈秀宏2   

  1. 1. 江南大学 物联网工程学院,江苏 无锡214122
    2. .江南大学 数字媒体学院,江苏 无锡214122
  • 收稿日期:2010-09-17 修回日期:2010-11-16 发布日期:2011-03-03 出版日期:2011-03-01
  • 通讯作者: 张春雪
  • 作者简介:张春雪(1986-),女,天津宝坻人,硕士研究生,主要研究方向:图像处理、模式识别;陈秀宏(1964-),男,江苏泰兴人,教授,博士,主要研究方向:图像处理、模式识别。

Gravitational approach to edge detection based on nonlinear filtering

ZHANG ChunXue1,CHEN Xiu-hong2   

  1. 1. School of Internet of Things Engineering, Jiangnan University, Wuxi Jiangsu 214122, China
    2. School of Digital Media, Jiangnan University, Wuxi Jiangsu 214122, China
  • Received:2010-09-17 Revised:2010-11-16 Online:2011-03-03 Published:2011-03-01
  • Contact: ZHANG ChunXue

摘要: 将非线性滤波算子融入到万有引力边缘检测算法中,提出了一种新的边缘检测方法。通过计算图像中每个像素点的非线性梯度值,构造以该梯度值为自变量的归一化函数,用该函数值代替中心像素点灰度值对图像进行万有引力边缘检测。实验结果表明,同传统的边缘检测算法相比,此方法不仅边缘定位准确,而且对于各种噪声图像也具有良好的边缘检测效果。

关键词: 边缘检测, 噪声图像, 万有引力定律, 非线性滤波

Abstract: Introducing the nonlinear filtering operator into the gravitational edge detection algorithm, a new edge detection method was presented. Firstly, the image was used to calculate the nonlinear gradient value of every pixel. Then a normalized function was constructed by using the nonlinear gradient value as independent variable. Finally, the gravitational edge detection was implemented by using the function value instead of the gray value of center pixel. The experimental results demonstrate that, compared with traditional edge detection algorithms, the proposed approach has better accuracy in edge location and get favorable edge for various noise images.

Key words: edge detection, noise image, law of universal gravity, nonlinear filtering

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