摘要
混凝土结构是常见的建筑结构形式,建设期内养护不到位,后期运维过程中出现偶然荷载因素等,都会导致混凝土出现裂缝。就混凝土结构裂缝而言,常规的人工目视检查精度与效率较低,已不能满足现代化检测需要。文章基于XDoG-Wiener算法对混凝土结构裂缝识别技术开展相应的研究。通过高精度数字相机对混凝土裂缝信息进行数字采集,提出了用XDoG-Wiener耦合算法对混凝土结构信息进行裂缝信息边缘检测,通过优化二进制阈值函中敏感参数取值,运用Wiener模板算法进行降噪处理,实现数字图像裂缝信息可视化。
Concrete structure is a common form of building structure.Insufficient maintenance during the construction period and occasional load factors during later operation and maintenance can lead to cracks in the concrete.As for cracks in concrete structures,conventional manual visual inspection has low accuracy and efficiency,and can no longer meet the needs of modern detection.Conduct corresponding research on concrete structure crack identification technology based on XDoG-Wiener algorithm.A high-precision digital camera was used to digitally collect concrete crack information,and the XDoG-Wiener coupling algorithm was proposed to detect the edge of crack information in concrete structures.By optimizing the sensitive parameter values in the binary threshold function and using the Wiener template algorithm for noise reduction,the visualization of crack information in digital images was achieved.
作者
刁连鹏
DIAO Lianpeng(East China Branch of China Railway Construction Group Co.,Ltd.,Suzhou 215300,Jiangsu,China)
出处
《工程技术研究》
2024年第3期7-10,共4页
Engineering and Technological Research
