Research on Detection of Concrete Surface Cracks by Image Processing Based on Smartphone APP
NI Tong-yuan1,2,ZHOU Ruo-xu1,YANG yang1,2,YANG Xue-cheng3,ZHANG Wu-yi4,LIN Chu-xuan1
1. College of Civil Engineering,Zhejiang University of Technology, Hangzhou,Zhejiang 310023,China
2. Key Laboratory of Civil Engineering Structures & Disaster Prevention and Mitigation Technology of Zhejiang Province,Hangzhou,Zhejiang 310023,China
3. Taizhou Yuanhe Construction Development Co Ltd., Taizhou,Zhejiang 318000,China
4. Zhejiang Traffic Detection Co Ltd., Hangzhou,Zhejiang 311215,China
Abstract：A nondestructive detection method for the concrete surface crack based on Android APP is proposed, to collect crack area image by using smartphone camera module, and to extract target crack through image processing algorithms such as graying, filtering and denoising, flood filling, etc. The crack length, width and area characteristic value are measured in order to realize the crack nondestructive testing. It is based on the geometric relationship between crack pixel coordinates and the number of pixel points contained in the crack, and combines the unit pixel size of phones camera. The newly developed APP of crack detection technology can measure the width of any point, total crack length, crack area and maximum crack width. The experimental results show that it can effectively improve the accuracy of APP to measure and detect of concrete surface cracks by using smart phone optical zoom to enlarge the target cracks. The accuracy error of APP measurement is less than 5% compared with the crack width meter, and it meets the engineering application requirements.
倪彤元,周若虚,杨杨,杨学成,张武毅,林楚轩. 基于智能手机APP的图像法检测混凝土表面裂缝研究[J]. 计量学报, 2021, 42(2): 163-170.
NI Tong-yuan,ZHOU Ruo-xu,YANG yang,YANG Xue-cheng,ZHANG Wu-yi,LIN Chu-xuan. Research on Detection of Concrete Surface Cracks by Image Processing Based on Smartphone APP. Acta Metrologica Sinica, 2021, 42(2): 163-170.
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2021, Vol. 42 
