[1]成 杰,叶文武,徐寅林.回转库档案实时定位中基于鱼眼镜头图像的处理识别技术[J].南京师范大学学报(工程技术版),2019,19(02):075.[doi:10.3969/j.issn.1672-1292.2019.02.010]
 Cheng Jie,Ye Wenwu,Xu Yinlin.Processing and Recognition Technology Based on Fisheye Lens Image in Real-Time Positioning of Rotary Library Files[J].Journal of Nanjing Normal University(Engineering and Technology),2019,19(02):075.[doi:10.3969/j.issn.1672-1292.2019.02.010]
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回转库档案实时定位中基于鱼眼镜头图像的处理识别技术
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南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
19卷
期数:
2019年02期
页码:
075
栏目:
计算机与信息工程
出版日期:
2019-06-30

文章信息/Info

Title:
Processing and Recognition Technology Based on Fisheye Lens Image in Real-Time Positioning of Rotary Library Files
文章编号:
1672-1292(2019)02-0075-07
作者:
成 杰叶文武徐寅林
南京师范大学物理科学与技术学院,江苏 南京 210023
Author(s):
Cheng JieYe WenwuXu Yinlin
School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China
关键词:
鱼眼镜头图像识别卷积神经网络档案识别
Keywords:
fisheye lensimage identificationconvolutional neural networkfile identification
分类号:
TH711
DOI:
10.3969/j.issn.1672-1292.2019.02.010
文献标志码:
A
摘要:
介绍了一种基于鱼眼镜头图像处理识别的回转库档案盘点技术,采用鱼眼镜头宽视角拍摄回转库中排列成行的带有数字标签的多本档案; 利用图像矫正、分割技术处理得到标签上的每一个数字图; 由构造的卷积神经网络识别出图像内容; 以标签数字列在镜头中的位序实现档案定位. 该技术实时性较好,识别准确且成本低.
Abstract:
This paper introduces a rotary library file inventory technology based on fisheye lens image processing and recognition. A wide angle of view of the fisheye lens is used to capture multiple files with digital labels arranged in rows. Image correction and segmentation technology are used to process each label. Image content is recognized by constructed Convolutional Neural Network. The file position is realized by the bit sequence of the label number listed in the lens. The technology has good real-time performance,accurate identification and low cost.

参考文献/References:

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相似文献/References:

[1]吴薇,杨继全.基于RFID的零件精细分类管理系统开发[J].南京师范大学学报(工程技术版),2012,12(02):018.
 Wu Wei,Yang Jiquan.RFID Based Precise Classification and Management of Industrial Products on Software Design[J].Journal of Nanjing Normal University(Engineering and Technology),2012,12(02):018.

备注/Memo

备注/Memo:
收稿日期:2019-02-20.
基金项目:江苏省研究生科研与实践创新计划项目(SJCX19_0186).
通讯联系人:徐寅林,博士,教授,研究方向:精密仪器设计. E-mail:xuyinlin@njnu.edu.cn
更新日期/Last Update: 2019-06-30