[1]吴笛,陈丁,倪晋平.带有炸点识别的图像采集系统设计[J].机械与电子,2018,(12):14-17.
　WU Di,CHEN Ding,NI Jinping.Design of Image Acquisition System with Burst Point Recognition[J].Machinery & Electronics,2018,(12):14-17.
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带有炸点识别的图像采集系统设计()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2018年12期
页码:
14-17
栏目:
设计与研究
出版日期:
2018-12-24

文章信息/Info

Title:
Design of Image Acquisition System with Burst Point Recognition
文章编号:
1001-2257（2018）12-0014-04
作者:
吴笛; 陈丁; 倪晋平
(西安工业大学 陕西省光电测试与仪器技术重点实验室,陕西 西安 710021 )
Author(s):
WU Di;  CHEN Ding ; NI Jinping
(Shaanxi Province Key Laboratory of Photoelectric Measurement and Instrument Technology, Xian Technological UniversityXian 710021, China)
关键词:
靶场测试; 图像采集; 目标识别; 炸点测量
Keywords:
shooting range test; image acquisition; target recognition; burst point measurement
分类号:
TP274.2
文献标志码:
A
摘要:
针对大范围炸点三维坐标图像测量过程中相机准确采集图像的问题，设计了可用于炸点识别的图像采集系统，以面阵相机采集到的图像数据为源信号，设计相应的算法自动识别炸点目标，从而为后续的图像采集及处理提供依据。设计了面阵相机图像采集的硬件，给出了炸点目标检测和识别的图像处理算法。实验验证表明，设计的算法可有效识别炸点图像中的火光、烟雾等信号。所研究的自动识别炸点目标图像采集算法和硬件，能减少相机存贮空间，提高靶场测试效率。
Abstract:
Aiming at the problem that the camera accurately collects images during the three-dimensional coordinate image measurement process of large-scale burst point, an image acquisition system for burst point recognition was designed. The image data collected by the area array camera was used as the source signal, and the corresponding algorithm was designed to automatically identify the burst point target, which provides a basis for subsequent image acquisition and processing. The hardware of the image acquisition of the area array camera was designed, and the image processing algorithm of the target detection and recognition of the burst point was given. Experimental results show that the algorithm can effectively identify the signals such as flare and smo ke in the image of the burst point. The automatic recognition of the target image acquisition algorithm and hardware studied in this paper can reduce the camera storage space and improve the shooting range test efficiency.

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相似文献/References:

[1]潘泽锴,杨浩然.基于嵌入式的剑麻绳图像采集与检测系统[J].机械与电子,2020,(06):37.
　PAN Zekai,YANG Haoran. The Embedded Sisal Rope Image Acquisition and Detection System[J].Machinery & Electronics,2020,(12):37.

备注/Memo

备注/Memo:
 收稿日期：2018-09-03
基金项目：国家自然科学基金资助项目（61471289）；陕西省教育厅重点实验室项目（17JS050）
作者简介：吴笛（1994-），男，陕西宝鸡人，硕士研究生，研究方向为通信与信息系统、智能信息处理等；陈丁（1982-），男，陕西西安人，博士研究生，研究方向为武器系统与运用工程；倪晋平（1965-），男，陕西乾县人，博士，教授，博士研究生导师，研究方向为兵器光电靶场测试技术等。
更新日期/Last Update: 2019-10-29