基于形态学处理和计量测量的端盖图像识别研究  

Research on End Cap Image Recognition Based on Morphological Processing and Metrological Measurement

作　　者：张厅瑞 梁蔓安[1] 李伯乐 ZHANG Tingrui;LIANG Man′an;LI Bole(School of Mechanical and Automotive Engineering,Guangxi University of Science and Technology,Liuzhou 545006,China;Guangxi Liugong Machinery Co.,Ltd.,Liuzhou 545116,China)

机构地区：[1]广西科技大学机械与汽车工程学院,广西柳州545006 [2]广西柳工机械股份有限公司,广西柳州545116

出　　处：《机械制造与自动化》2025年第2期181-185,共5页Machine Building & Automation

摘　　要：研究端盖图像的识别是为了在生产线高速运行的情况下,快速准确地识别和判断每种端盖的类型。针对这个问题,提出一种基于形态学处理和计量测量的端盖图像识别方法。针对端盖图像进行滤波、二值化、形态学处理、形状变换、形状分析和计量测量法等操作。通过算法设计实现工件的自动化识别,提高了此类零件分类的精度和可靠性。This paper studies end caps recognition,particularly quick and accurate identification and determination of the type of each end cap in high-speed production line scenarios.A morphology-based processing and metrological measurement method for end cap image recognition was proposed.The end cap images were subjected to filtering,binarization,morphological processing,shape transformation,shape analysis,and metrological measurement operations.Through algorithm design,automated recognition of the end caps was achieved,which improved the accuracy and reliability of of this type of the component classification.

关 键 词：机器视觉 形态学 计量测量 特征提取 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]