1.College of Civil Engineering and Architecture,Zhengzhou University of Aeronautics;2.Department of Geotechnical Engineering,Tongji University
Henan Science and Technology Research Plan (Social Development Field) Project (192102310489, 202102310243)
Crack is one of the most common diseases of tunnel lining, and crack detection is the premise of later tunnel maintenance. In the process of image acquisition, real-time fast recognition of tunnel lining cracks is of great significance to improve the efficiency of tunnel disease inspection. In view of the disadvantages of traditional crack image recognition methods with slow running speed and low efficiency, the real-time fast recognition method of tunnel lining cracks based on image structure information was proposed. Firstly, the image structure information is expressed by the gray mean value, standard deviation and structure element mask of image pixels. Then the current image is convoluted by means of different structural element masks, and luminance information and contrast information between the current image and sample images are calculated. Finally, the image structure information factor is calculated to recognize lining cracks in real time and quickly. The optimal parameters and threshold of the proposed algorithm are estimated using ROC curves. Experimental results show that the running time of the proposed algorithm is significantly less than the image acquisition and storage time with fast recognition speed and high accuracy. The study results can significantly improve the efficiency of tunnel lining diseases inspection and has certain engineering application value.
王平让,黄宏伟,薛亚东. 基于图像结构信息的隧道衬砌裂缝实时快速识别[J]. 科学技术与工程, , ():复制