基于机器视觉的图像文件识别归档系统  

Image File Recognition and Filing System Based on Machine Vision

作　　者：徐亮 陈强 项龙 XU Liang;CHEN Qiang;XIANG Long(Beijing Inst让ute of Aerospace Experiment Technology,Beijing 100074,China)

机构地区：[1]北京航天试验技术研究所,北京100074

出　　处：《信息与电脑》2022年第5期162-165,共4页Information & Computer

摘　　要：对于一般的手持摄影设备,其设备程序中的对新获取图像文件的命名方式一般是以其程序内部序列方式或添加时间戳的方式进行新文件命名。此种命名方式在对于处理批量图像信息或需要对图像信息进行逐一关键信息标注时,给工作人员添加巨大的工作量。本文针对上述问题,提出并构建了一套机器视觉系统,采用LabVIEW程序架构,基于图像信息的训练与识别的方式,对包含关键信息的图像原始文件进行加工并进行存储。新存储的文件在文件名上体现图像原始文件中的关键信息,使工作人员在后续的文件归档与调用等工作中获得便利,降低劳动力损耗,加强工作效率,也使得相关工作流程更加现代化、智能化。For the general handheld camera, the naming method of the newly acquired image file in the device program is usually named by its internal sequence or by adding a timestamp. This naming method adds a huge amount of work to the staff when it is necessary to process the bulk image information or to annotate the key information of the image information one by one. In order to solve the above problems, this paper proposes and constructs a machine vision system, which uses LabVIEW program architecture,training and recognition based on image information to process and store the original image files containing key information, and the newly stored files represent the key information in the original image files on the filename. In order to make the staff in the follow-up file archiving and call work to get convenience, reduce labor wastage, enhance work efficiency, also make the relevant work flow more modern and intelligent.

关 键 词：机器视觉 LABVIEW 图像识别 信息提取 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]