计算机工程 ›› 2010, Vol. 36 ›› Issue (23): 214-216.doi: 10.3969/j.issn.1000-3428.2010.23.072

• 图形图像处理 • 上一篇    下一篇

自适应的形态学边缘检测算法

薛丽霞a,李涛a,王佐成b   

  1. (重庆邮电大学 a. 计算机科学与技术学院; b. 软件学院, 重庆 400065)
  • 出版日期:2010-12-05 发布日期:2010-12-14
  • 作者简介:薛丽霞(1976-),女,副教授、博士,主研方向:数字图像处理,遥感与GIS软件;李涛,硕士研究生;王佐成,副教授、博士
  • 基金项目:
    重庆市教育委员会基金资助项目(KJ080521);重庆邮电大学博士科研基金资助项目(A200814)

Adaptive Edge Detection Algorithm Based on Morphology

XUE Lixiaa,LI Taoa,WANG Zuochengb   

  1. (a. Computer College; b. Software College, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
  • Online:2010-12-05 Published:2010-12-14

摘要: 针对传统的基于形态学边缘检测算法抗噪能力较差以及易丢失边缘细节的问题,提出一种自适应的抗噪型边缘检测算法。该算法采用多尺度的结构元素进行滤波,根据边缘方向自动选择相应方向的结构元素进行边缘检测以得到更多的边缘细节。实验结果表明,该算法不仅抗噪能力较强,检测到的边缘细节较多,而且还能提高边缘检测效率,是一种有效的边缘检测算法。

关键词: 边缘检测, 数学形态学, 多尺度, 结构元素

Abstract: The traditional edge detection algorithm based on morphology is poor in antinoise and detecting the details of the edge. In order to solve the problem, this paper proposes an adaptive antinoise edge detection algorithm based on morphology. The algorithm uses multiscale structural elements to remove noise, and then automatically selects the appropriate direction structural elements according to the direction of the edge to get more details of the edge. Experimental results show that the algorithm not only is a strong in antinoise, and can detect more edge details, but also is effective in improving the efficiency of the edge detection, so it is an effective edge detection algorithm.

Key words: edge detection, mathematical morphology, multipledimensioned, structural element

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