东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (9): 1315-1318.DOI: -

• 论著 • 上一篇    下一篇

一种基于小波变换和数学形态学的边缘检测算法

黄海龙;王宏;   

  1. 东北大学机械工程与自动化学院;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(61071057)

An edge detection algorithm based on wavelet transform and mathematical morphology

Huang, Hai-Long (1); Wang, Hong (1)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Wang, H.
  • About author:-
  • Supported by:
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摘要： 结合小波变换和数学形态学的优点,提出了一种基于小波变换和数学形态学的边缘检测算法.基于数学形态学的边缘检测,对现有的检测算子进行改进,构造了一种抗噪型边缘检测算子,并使用不同方向的线型结构元素;基于小波变换的边缘检测能有效地保留图像边缘的细节信息,使提取的边缘完整连续.实验结果表明,本研究提出的算法与几种经典边缘检测算子相比,有效抑制了噪声的影响,提高了检测的精度,对各种不同图像具有很好的鲁棒性.

关键词: 小波变换, 数学形态学, 边缘检测, 结构元素, 鲁棒性

Abstract: Combining the advantages of both the wavelet transform and mathematical morphology, an edge detection algorithm was proposed. For edge detection based on mathematical morphology, an anti-noise edge detection operator is constructed by improving the existing operators. Different direction linear structure elements are employed. Edge detection based on wavelet transform can reserve the image edge details effectively and ensure the continuity and integrity of the detected edge. Experimental results show that the proposed algorithm can suppress the noise interference more effectively and improve the detection accuracy and the robustness of different images in comparison with several classical edge detection algorithms.

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