激光光条中心线提取研究综述

激光光条中心线提取在视觉测量、三维重建等领域具有重要的作用.介绍了不同类型的中心线提取模型,并且回顾了这些模型的转变和创新.具体来说,根据模型采用的核心算法,将中心线提取模型分为传统提取模型和基于深度学习的提取模型;传统中心线提取模型又分为极值模型、灰度重心模型、曲线拟合模型、基于Hessian矩阵的Steger模型和...

Review on Centerline Extraction for Laser Stripe

The centerline extraction of laser stripe plays an important role in visual measurement and three-dimensional reconstruction.Different kinds of centerline extraction models are introduced and their transformation and innovation are reviewed.Specifically,the centerline extraction models are divided into the traditional extraction models and the deep learning-based extraction models based on the core algorithm used in the models.The traditional extraction models are subdivided into the extremum models,the gray-gravity models,the curve fitting models,the Steger models based on Hessian matrix and the variable direction template models.The different types of algorithm models are compared and analyzed from the advantages/disadvantages and problems to be overcome.The analysis shows that the traditional laser stripe centerline extraction models have obvious deficiencies in image adaptability and real-time processing.Besides,it is pointed out that the development of laser stripe centerline extraction model should be gradually oriented to the deep learning fields with more flexibility,generalization and real-time capability.