Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (20): 263-266.

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Pavement crack detection based on improved watershed algorithm

LI Wei, GAO Lu   

  1. College of Electronic and Information Engineering, Henan University of Science and Technology, Luoyang, Henan 471003, China
  • Online:2013-10-15 Published:2013-10-30

基于改进的分水岭算法的路面裂缝检测

黎  蔚,高  璐   

  1. 河南科技大学 电子信息工程学院,河南 洛阳 471003

Abstract: The traditional watershed algorithm in image processing has the advantage of remaining good weak edge information, but it is easy to cause the over-segmentation problem. Aimed at the over-segmentation problem of traditional algorithm, this paper improves the watershed merging algorithm, and proposes the concept of gradient entropy combined with characteristics of asphalt pavement cracks. At the same time, it puts forward an adaptive region merging algorithm as judged by region merging rules, the entropy as the criterion to judge whether region merging should be stopped as well. Then the method is applied in pavement cracks detection. The experimental results show that pavement cracks extracted by the method have little of noise, while details are remained well compared with the traditional threshold segmentation method, and then this method solves the over-segmentation problem effectively.

Key words: watershed algorithm, pavement crack detection, region merging, gradient entropy

摘要: 传统的分水岭算法在图像处理中具有保持微弱边缘信息良好的优点,但容易产生过分割问题。针对传统分水岭算法过分割的问题对分水岭合并算法进行了改进,结合沥青路面裂缝特点提出了梯度熵的概念,同时提出了自适应区域合并算法作为判断区域合并的准则,通过该方法在路面裂缝检测上的应用,实验结果表明,该方法与改进前分水岭算法相比,提取出的路面裂缝噪声少,细节保持得好,而且有效地解决了过分割问题。

关键词: 分水岭算法, 路面裂缝检测, 区域合并, 梯度熵