Small-diameter pipeline panoramic measurement system based on dual-view acquisition and valid information recovery.

Applied optics Pub Date : 2026-10-10 Epub Date: 2026-09-15 DOI:10.1364/AO.607584
Haokai Wu, Jiehu Kang, Xiaolong Yang, Ziran Feng, Yunju Bai, Zongyang Zhao, Yichen Xu, Bin Wu
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Abstract

Small-diameter pipes have been widely used in various industrial fields, but achieving imaging with both high quality and high efficiency in such a confined space remains a challenging problem. To address this issue, a visual measurement system based on a conical mirror and an object-space telecentric lens is designed and implemented. To overcome information loss caused by annular image compression and occlusion from structural support pillars, an acquisition strategy combining axial multi-frame stitching and dual-view image complementarity is proposed to acquire raw images. Together with corresponding image processing procedures, the resulting image that contains complete information about inner wall morphology is obtained. Experimental results on defect size measurement show that, compared with the ground truth, the proposed system achieves a maximum absolute deviation of 57 µm and an average absolute deviation of 34 µm. In addition, the system is applicable to inner wall topography measurement of pipes made of different materials, thereby demonstrating the engineering practicality of the proposed approach.

基于双视点采集和有效信息恢复的小口径管道全景测量系统。
小直径管道已广泛应用于各种工业领域,但在如此狭窄的空间内实现高质量、高效率的成像仍然是一个具有挑战性的问题。为了解决这一问题,设计并实现了一种基于圆锥镜和物距远心透镜的视觉测量系统。为了克服结构支撑柱的环形图像压缩和遮挡造成的信息丢失,提出了一种轴向多帧拼接和双视图图像互补相结合的原始图像获取策略。结合相应的图像处理程序,得到了包含完整内壁形态信息的图像。缺陷尺寸测量实验结果表明,与地面真实值相比,该系统最大绝对偏差为57µm,平均绝对偏差为34µm。此外,该系统还适用于不同材料管道的内壁形貌测量,从而证明了该方法的工程实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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