Surface Crack Detection in Building Wall Based on Computer Vision

Abstract

the detection technology of surface crack in building wall is studied to improve the accuracy of detection. To detect surface crack in the building wall, there will be a pixel overlap or distorted in the location of image connection if using traditional detection method to make fusion process for the different pixels. due to the accuracy requirements of image pixels in surface crack detection in building wall is relatively high, resulting in too low accuracy rate of surface crack detection in building wall. In order to avoid the above problem, a detection method for surface crack in building wall based on computer vision is proposed. The crack region’s pixel in the image of building wall’s surface is calculated, and thus to provide the basis for surface crack detection in building wall. According to the theory of computer vision, the spatial location of the surface crack region in building wall is obtained. Experiments show that this detection system can improve the accuracy of detection, and achieve satisfactory results.