Computer Vision-Based Quantitative Detection of Bolt Loosening Using Two-Stage Perspective Distortion Correction Method

IF 2.4 3区材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING

Journal of Nondestructive Evaluation Pub Date : 2025-06-22 DOI:10.1007/s10921-025-01206-9

Ru Zhang, Chaodong Guan, Xiaodong Sui, Nahai Ding, Yang Ding, Lianying Zhou

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Abstract

Bolt connected joints are widely used in mechanical assembly structures. Identifying the looseness condition of bolts is essential for maintaining the integrity of the whole structure. This paper presents a two-stage perspective distortion correction method based on computer vision, aimed at accurately detecting bolt loosening from images with significant angular tilt. In the first stage, perspective transformation is applied to correct the overall perspective distortion of the bolt images. In the second stage, the Faster R-CNN model is utilized to locate the bolt positions, while the Hough transform is applied to extract the marked line features. These features are then processed using the convex hull algorithm and affine transformation to correct the local perspective distortion. The experimental results demonstrate that the proposed method achieves a bolt loosening recognition accuracy exceeding 90% when the image shooting tilt angle is within 40°, by performing perspective correction at both the overall and local levels.

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基于计算机视觉的两阶段透视变形校正螺栓松动定量检测

螺栓连接接头广泛应用于机械装配结构中。确定螺栓的松动情况对保持整个结构的完整性至关重要。本文提出了一种基于计算机视觉的两阶段视角畸变校正方法，旨在从具有明显角度倾斜的图像中准确检测螺栓松动。第一阶段采用透视变换对螺栓图像的整体透视畸变进行校正。第二阶段，利用Faster R-CNN模型定位螺栓位置，利用Hough变换提取标记线特征。然后使用凸包算法和仿射变换对这些特征进行处理，以纠正局部透视畸变。实验结果表明，通过对图像拍摄倾斜角在40°以内的角度进行整体和局部角度校正，所提出的方法在螺栓松动识别精度上达到90%以上。

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来源期刊

Journal of Nondestructive Evaluation 工程技术-材料科学：表征与测试

CiteScore

4.90

自引率

7.10%

发文量

审稿时长

9 months

期刊介绍： Journal of Nondestructive Evaluation provides a forum for the broad range of scientific and engineering activities involved in developing a quantitative nondestructive evaluation (NDE) capability. This interdisciplinary journal publishes papers on the development of new equipment, analyses, and approaches to nondestructive measurements.