计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (26): 38-40.

• 学术探讨 • 上一篇    下一篇

基于柔性形态学的梯度边缘检测算法

徐 超,叶正麟   

  1. 西北工业大学 应用数学系,西安 710072
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-09-11 发布日期:2007-09-11
  • 通讯作者: 徐 超

Gradient edge detection algorithm based on soft mathematical morphology

XU Chao,YE Zheng-lin   

  1. Department of Applied Mathematics,Northwestern Polytechnical University,Xi’an 710072,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-09-11 Published:2007-09-11
  • Contact: XU Chao

摘要: 在深入研究柔性数学形态学边缘检测算法的基础上,提出比传统柔性形态学膨胀和腐蚀算子具有更强鲁棒性的柔性形态学膨胀和腐蚀算子,在此基础上提出柔性形态学梯度边缘检测算法,实验证明了该算法对噪声特别是脉冲噪声有很强的抑制作用,并能很好地检测出图像的边缘信息。

关键词: 图像处理, 边缘检测, 柔性数学形态学, 形态学梯度

Abstract: In-depth study of the edge detection algorithm based on soft mathematical morphology,the article proposes novel soft morphology dilation and erosion operators,which achieves more robust than traditional soft morphology dilation and erosion operators.Based on the novel soft morphological operators,the gradient edge detection algorithm is presented.The experiment proves that the method have very strong robustness,especially to the impulse noise and can detect very good image edge information.

Key words: image processing, edge detection, soft mathematical morphology, morphological gradient