计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (14): 136-140.

• 图形图像处理 • 上一篇    下一篇

一种桥梁路面裂缝的检测方法

孙乾程,黎  蔚   

  1. 河南科技大学 电子信息工程学院,河南 洛阳 471023
  • 出版日期:2015-07-15 发布日期:2015-08-03

Detection method based on crack of bridge roadbed

SUN Qiancheng, LI Wei   

  1. College of Electronic Information Engineering, Henan University of Science & Technology, Luoyang, Henan 471023, China
  • Online:2015-07-15 Published:2015-08-03

摘要: 为了增强桥梁路面裂缝提取的效果,在分析桥梁路面多种常见噪声的基础上,结合桥梁路面图像中不同噪声本征信息,提出了一种新的基于桥梁路面裂缝的分步式裂缝检测模型。整个分步式裂缝检测模型包括转灰度图、对灰度图裂缝的初步提取、图像中块噪声的滤除、图像中伪裂缝的去除。同时,对光照不均时细小裂缝的提取,提出了自适应阈值选择模型。通过实例表明,该检测模型可靠、稳定,能够处理大量含有综合噪声的复杂桥梁路面裂缝图像。

关键词: 分步式裂缝检测, 块噪声, 自适应阈值, 桥梁路面, 光照不均

Abstract:  In order to enhance an effect of crack detection on the roadbed of bridge, multiple commonly noisy is analyzed on the roadbed of bridge. Combined with characteristic feature of various kinds noisy on the roadbed of bridge, a novel distributed crack detection model based on the roadbed of bridge crack is presented. The whole distributed crack detection model is composed of turning grayscale, preliminary to extract grayscale cracks, wiping off block noise, wiping off pseudo crack. Meanwhile, to extract tiny cracks in the uneven illumination, adaptive threshold selected model is presented. The example shows that the detection model is trustworthy and stable, moreover it can dispose a great quantity complex images with crack on the roadbed of bridge, where contain comprehensive noisy.

Key words: distributed crack detection, block noise, adaptive threshold, bridge roadbed, uneven illumination