Title: Non-destructive testing method for building material defects based on image processing technology

Authors: Yufeng Chi; Ligang Qiao; Shuting Hu; Peng Yu; Haoxiang Tang

Addresses: The Second Construction Co. Ltd of China Construction First Group, Beijing, 102699, China ' The Second Construction Co. Ltd of China Construction First Group, Beijing, 102699, China ' The Second Construction Co. Ltd of China Construction First Group, Beijing, 102699, China ' The Second Construction Co. Ltd of China Construction First Group, Beijing, 102699, China ' The Second Construction Co. Ltd of China Construction First Group, Beijing, 102699, China

Abstract: In order to improve the detection accuracy of building material defects and shorten the detection time, a non-destructive testing method for building material defects based on image processing technology is proposed. Firstly, an array CCD camera is used to capture images of building defect material. Secondly, in order to improve the quality of building material images, image processing techniques are adopted, including greyscale processing, edge enhancement, and smooth filtering. Finally, the triangulation method is used to segment the defect areas and background areas in the building material image, completing non-destructive testing of building material defects. The experimental results show that the method proposed in this paper can improve the quality of building material images, improve detection accuracy, and shorten detection time.

Keywords: image processing technology; defects in building material; non-destructive testing; greyscale processing; triangulation method.

DOI: 10.1504/IJMPT.2024.143246

International Journal of Materials and Product Technology, 2024 Vol.68 No.3/4, pp.230 - 242

Received: 30 Nov 2023
Accepted: 28 Feb 2024
Published online: 11 Dec 2024 *

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