Journal of Liaoning Petrochemical University ›› 2006, Vol. 26 ›› Issue (2): 79-82.

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Image Edge -Detection Based on Mathematical Morphology of Multi -Structure Element Algorithm

  

  1. School of Computer and Communication Engineering , Liaoning University of Petroleum & Chemical Technology ,Funshun Liaoning 113001 , P .R .China
  • Received:2006-01-06 Published:2006-02-25 Online:2006-02-25

基于多结构元素的数学形态学图像边缘检测

王建彬, 纪玉波＊ , 李依令   

  1. 辽宁石油化工大学计算机与通信工程学院, 辽宁抚顺113001
  • 作者简介:王建彬(1975 -), 男(蒙古族), 辽宁凌源市, 在读硕士。

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Abstract:

　    Based on mathematical morphology of multi -structure element , an algorithm of image edge -detection was pro posed. With edge threshold and noise having different morphology , while detecting the edge , it needs determining the pixel whose gradient varies obviously .Then it applies multi -structure element to erosion operating of binary morphology to determine that the pixel is edge or noise.If it is noise , the pixel is removed, otherwise kept .In order to test the effect of algorithm , the results of this algorithm and of several traditional algorithms to extract edge of image were given .Experiment results show that the algorithm detects image edge successfully , and effect of edge -detection is evidently better than classical Sobel operator and Canny operator .

Key words: 　Edge-detection , 　Mathematical morphology , 　Structure element

摘要： 　    提出一种基于多结构元素的数学形态学图像边缘检测算法。利用边缘与噪声具有不同的形态, 在进行边缘检测时, 只需要先确定出梯度突变的像素点, 然后再利用多结构元素对该像素点进行二值形态学的腐蚀操作, 以确定该像素点是边缘点还是噪声点:若是噪声点则被滤除, 若是边缘点则保留。为验证算法的效果, 给出了本文算法和几种传统算子对图像进行边缘提取的实验结果。结果表明, 该算法成功地完成了图像的边缘检测, 且检测效果明显优于经典的Sobel 算子和Canny 算子.

关键词: 　边缘检测, 　数学形态学, 　结构元素

Cite this article

WANG Jian -bin,JI Yu -bo. Image Edge -Detection Based on Mathematical Morphology of Multi -Structure Element Algorithm[J]. Journal of Liaoning Petrochemical University, 2006, 26(2): 79-82.

王建彬, 纪玉波,李依令. 基于多结构元素的数学形态学图像边缘检测[J]. 辽宁石油化工大学学报, 2006, 26(2): 79-82.

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