基于智能手机APP的图像法检测混凝土表面裂缝研究

Research on Detection of Concrete Surface Cracks by Image Processing Based on Smartphone APP

提出了一种基于Android APP的混凝土表面裂缝无损检测方法。利用智能手机摄像头模组采集裂缝区域图像,通过灰度化、滤波降噪、泛洪填充等图像处理算法提取裂缝目标,根据裂缝像素点坐标间的几何关系以及裂缝所包含的像素点个数,并结合拍摄手机的单位像素点尺寸来计量裂缝特征值,实现裂缝无损检测。新开发的APP裂缝检测技术能计量检测任意点宽度、裂缝总长度、裂缝面积、裂缝最大宽度。实验结果表明:利用智能手机光学变焦,放大目标裂缝可以有效地提高APP计量检测混凝土表面裂缝精度;与裂缝测宽仪比较,APP计量检测精度误差小于5%,满足工程应用要求。

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 phone's 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.