干扰(通信)
计算机科学
激光器
滤波器(信号处理)
准确度和精密度
理论(学习稳定性)
萃取(化学)
计算机视觉
人工智能
理想(伦理)
算法
光学
数学
物理
统计
电信
频道(广播)
化学
色谱法
机器学习
哲学
认识论
作者
Yang Tian,Shiwei Wu,Song Zhang,Shichao Yang,Yanxue Wu,Fei Liu
标识
DOI:10.1016/j.aei.2023.102207
摘要
Multiple laser stripe measurement (MLSM) is a vital technique in optical three-dimensional (3D) measurement. The accurate extraction of the laser stripe centerlines plays a decisive role in achieving high measurement accuracy. However, complex 3D measurement scenarios pose challenges due to various interferences, such as optical interference caused by dense stripes and no-ideal distribution caused by non-uniform reflectivity. To address these challenges, we propose an adaptive step size gradient centerline extraction method based on an 2D linear filter. This method incorporates local adaptive variable parameters for fine-tuning while utilizing global parameters. We validate its performance by conducting comprehensive comparative experiments with two commonly used methods. The results demonstrate that our proposed method enables more precise centerline extraction, exhibits enhanced stability, and yields lower measurement errors in complex 3D measurement conditions and highlight the effectiveness and superior performance of our method.
科研通智能强力驱动
Strongly Powered by AbleSci AI