摘要
针对传统测量方法进行核电高强钢筋连接套筒内螺纹螺距测量时存在的效率低和易损坏工件等问题,提出一种基于改进SIFT算法的内螺纹螺距图像测量方法。利用高精度图像采集设备获取内螺纹图像,并对图像进行去噪处理,以提升图像细节。通过形态学处理提取齿顶和齿根骨架中心线,并采用改进的SIFT算法进行两幅骨架中心线纵坐标匹配。最后,测量这两幅骨架中心线在纵坐标上的距离得到螺距。结果表明:相较于传统测量方法,基于图像处理的测量方法测得的螺距相对误差均在3%以内,测量精度满足核电建设检测要求,为提高核电建设中钢筋连接的安全性和稳定性提供了有力支持。
To address the issues of low efficiency and potential workpiece damage associated with traditional methods for measuring the pitch of internal threads in high-strength rebar couplers used in nuclear power,a novel image measurement method based on an improved scale-invariant feature transform(SIFT)algorithm was proposed.The internal threads images were obtained by using high-precision imaging equipment,and the images were processed to remove noise to enhance image details.The skeleton centerlines of the tooth top and tooth root were extracted through morphological processing and the improved SIFT algorithm was applied to match the vertical coordinates of the two skeleton centerlines.Finally,the pitch was determined by measuring the distance between these two centerlines along the vertical axis.The results indicate that compared with the traditional measurement methods,the image processing-based method achieves a relative error within 3% for pitch measurement,and the measurement accuracy meets the inspection requirements for nuclear power construction,providing strong support for enhancing the safety and stability of rebar couplers in nuclear power projects.
作者
牛虎利
李泉金
杨佳俊
张嘉钰
NIU Huli;LI Quanjin;YANG Jiajun;ZHANG Jiayu(School of Mechanical Engineering,Hebei University of Science and Technology,Shijiazhuang Hebei 050018,China)
出处
《机床与液压》
北大核心
2025年第13期126-131,共6页
Machine Tool & Hydraulics
基金
石家庄市重点研发计划项目(221080351A)。
关键词
图像处理
内螺纹螺距
快速测量方法
SIFT算法
image processing
internal threads pitch
rapid measurement method
SIFT algorithm
