中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2017, Vol. 36 ›› Issue (12): 13-17.DOI: 10.3969/j.issn.1674-0696.2017.12.03

• 桥梁与隧道工程 • 上一篇    下一篇

一种改进的桥梁裂缝图像滤波算法

王楹   

  1. (交通运输部路网监测与应急处置中心,北京 100088)
  • 收稿日期:2016-11-28 修回日期:2017-02-11 出版日期:2017-12-18 发布日期:2017-12-18
  • 作者简介:王楹(1982—),男,天津人,博士,助理研究员,主要从事路桥研究方面的工作。E-mail:212844665@qq.com。
  • 基金资助:
    国家自然科学基金项目(51479102)

An Improved Filtering Algorithm for Bridge Crack Image

WANG Ying   

  1. (Ministry of Transport Road Network Monitoring and Emergency Response Center,Beijing 100088,P. R. China)
  • Received:2016-11-28 Revised:2017-02-11 Online:2017-12-18 Published:2017-12-18

摘要: 针对桥梁裂缝周边复杂的噪声信息,传统的滤波方法在处理此类噪声时虽然能在某方面取得去噪效果,但也往往存在着各自较大的缺陷。对此,在 传统的形态学滤波器滤波的基础上,提出了一种基于多角度多结构元素形态学滤波器的算法。通过结合数学形态学,将多种结构元素结合使用,避免了单 一结构元素对图像处理时单一的作用,不仅能对图像全区域进行分析,而且保留了图像的细节信息。实验数据对比分析表明,此滤波算法取得了明显的效 果。

关键词: 桥梁工程, 形态学, 滤波器, 桥梁图像, 图像去噪

Abstract: For the complicated noise information around the bridge crack,the traditional filtering method can get the denoising effect in some aspects when dealing with such noises,but they often have their own big defects. Therefore,based on the traditional morphological filter,an algorithm based on multi-angle multi-structure element morphological filter was proposed. By combining mathematical morphology,a variety of structural elements were combined to avoid the single effect of single structural element on image processing,which could not only analyze the whole region of the image,but also retain the detail information of the image. The comparison analysis on the experimental data shows that the proposed filtering algorithm has achieved remarkable results.

Key words: bridge engineering, morphology, filter, bridge image, image denoising

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