基于计算机视觉的涡流检测技术研究  

Research on Eddy Current Detection Technology Based on Computer Vision

作　　者：雷冰 杨爱民[1] LEI Bing;YANG Aimin(Xi’an Shiyou University,Xi’an Shaanxi 710065,China)

机构地区：[1]西安石油大学,陕西西安710065

出　　处：《信息与电脑》2024年第19期47-49,共3页Information & Computer

摘　　要：本文针对工业自动化与智能制造领域对高效、高精度涡流检测技术的迫切需求,深入研究了计算机视觉技术在涡流检测中的应用潜力。通过集成先进的图像处理和模式识别算法,本文旨在构建一种新型涡流检测系统,以实现对材料表面及亚表面缺陷的快速捕捉与精确识别。相比传统方法,该系统在显著加快检测速度的同时,有效增强了检测的准确性和可靠性,为涡流检测技术的革新与工业应用提供了新的思路与解决方案。Aiming at the urgent demand for efficient and high-precision eddy current detection technology in the field of industrial automation and intelligent manufacturing,this paper thoroughly researches the application potential of computer vision technology in eddy current detection.By integrating advanced image processing and pattern recognition algorithms,this paper aims to construct a new eddy current inspection system to realize the rapid capture and precise identification of surface and subsurface defects on materials.Compared with the traditional methods,this system significantly accelerates the detection speed while effectively enhancing the accuracy and reliability of the detection,providing new ideas and solutions for the innovation and industrial application of eddy current inspection technology.

关 键 词：计算机视觉 涡流检测 图像处理 自动化检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]