基于图像视觉识别的农村中小型桥梁拱圈线形的方法研究
Research on Methods of the Arch Circle Alignment of Small- and Medium-Sized Bridges in Rural Areas Based on Image Visual Recognition

本文提出了一种基于图像视觉识别的方法，用于检测农村中小型桥梁拱圈线形。该方法利用机器视觉技术，结合图像处理和模式识别算法，实现对桥梁拱圈线形的自动识别和检测。首先，通过图像采集设备获取桥梁拱圈的数字图像，然后对图像进行预处理，包括灰度化、边缘检测等操作，以提取出拱圈的轮廓信息。接着，利用形态学处理和特征提取方法对拱圈轮廓进行分析，识别出拱圈的线形特征。最后，通过模式匹配和分类算法对线形特征进行匹配和识别，实现对拱圈线形的自动检测。
This paper presents a method based on image visual recognition to detect the arch circle alignment of small- and medium-sized bridges in rural areas. The method uses computer vision technology, image processing and pattern recognition algorithm to realize the automatic recognition and detection of bridge arch circle alignment. Firstly, the digital image of bridge arch ring is obtained by image acquisition equipment, and then the image is preconditioned, including grayscale and edge detection, so as to extract the contour information of arch ring. Then, morphological processing and feature extraction methods are used to analyze the contour of the arch ring, and the linear features of the arch ring are identified. Finally, the linear feature is matched and recognized by pattern matching and classification algorithms to realize the automatic detection of the arch circle.