复杂环境下混凝土桥梁裂缝宽度检测算法

王兴

福建林业职业技术学院建筑工程系，福建 南平  353000

摘要：为提高桥梁裂缝宽度的检测精度，提出复杂环境下混凝土桥梁裂缝宽度检测算法。根据图像的灰度转换，调整裂缝的灰度图；对图像进行归一化处理，增强图像细节特征；在复杂背景下识别裂缝图像，在计算图像灰度直方图的基础上构建灰度累积分布函数，结合灰度图的转换，完成混凝土桥梁裂缝图像的直方图均衡化，采用连续曲线的间距计算原理，设计混凝土桥梁裂缝宽度检测算法，实现混凝土桥梁裂缝的宽度检测。结果表明，此算法在噪声环境、辐射环境下对混凝土桥梁裂缝宽度的检测准确度分别为97.30%、96.57%，为混凝土桥梁的检测质量提供数据支撑。

关键词：裂缝宽度；混凝土桥梁；检测算法；直方图均衡化

Detection algorithm for crack width in concrete bridge under complex environmental condition

WANG Xing

Department of Architectural Engineering, Fujian Forestry Vocational and Technical College, Nanping 353000, China

Abstract:To improve the detection accuracy of crack widths in concrete bridges in complex environments, a crack width detection algorithm is proposed. Based on the grayscale transformation of images, the grayscale images of cracks are adjusted. The images are normalized to enhance the detailed features. Crack images are identified in complex backgrounds. A cumulative distribution function is constructed based on the calculation of the grayscale histogram of the images. Histogram equalization of concrete bridge crack images is achieved by combining the grayscale transformation. The crack width detection algorithm for concrete bridges is designed based on the principle of calculating the distance between continuous curves which can successfully detect the crack widths in concrete bridges. The results show that detection accuracy of the detection accuracy of crack widths in concrete bridges is 97.30% and 96.57% in noisy and radiated environment, respectively. This algorithm provides data support for improving the detection quality of concrete bridges.

Keywords:crack width; concrete bridge; detection algorithm; histogram equalization