The Application of Morphology to Edge Detection of Traffic Signs

He Chun; Feng Sang; Lu Xiao; Chen Xiao-long

doi:10.3969/j.issn.1007-7162.2013.03.019

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The Application of Morphology to Edge Detection of Traffic Signs

更新时间：2026-05-27

- The Application of Morphology to Edge Detection of Traffic Signs
- Vol. 30, Issue 3, Pages: 101-104(2013)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2013.03.019
  CLC：
- Online First：30 September 2013，
  
  Published：2013
- 稿件说明：
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何春, 冯桑, 陆晓, 陈小龙. 形态学在交通标志边缘检测中的应用研究[J]. 广东工业大学学报, 2013, 30(3): 101-104.

He Chun, Feng Sang, Lu Xiao, et al. The Application of Morphology to Edge Detection of Traffic Signs[J]. 2013, 30(3): 101-104.
何春, 冯桑, 陆晓, 陈小龙. 形态学在交通标志边缘检测中的应用研究[J]. 广东工业大学学报, 2013, 30(3): 101-104. DOI： 10.3969/j.issn.1007-7162.2013.03.019.

He Chun, Feng Sang, Lu Xiao, et al. The Application of Morphology to Edge Detection of Traffic Signs[J]. 2013, 30(3): 101-104. DOI： 10.3969/j.issn.1007-7162.2013.03.019.

摘要

选取自然条件下交通标志图像作为研究对象，对比了使用形态学操作前后的检测结果.同时，对图像进行了加噪处理作为干扰条件，并进行了标准条件和干扰条件的实验.实验结果表明，先对图像运用形态学进行平滑处理，然后用LOG算子进行边缘检测能够取得很好的效果.

Abstract

Images of traffic signs under the natural conditions were studied

and the results before and after using morphology operation were compared. Meanwhile

the images were processed with plus noise as interference

and experiments on standard conditions and interference were conducted. Experimental results show that very good results can be achieved via the smooth processing of images by using morphology and edge detection of them by using the LOG operator.

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