OpenMP与环形缓冲技术在TFT-LCD缺陷检测中的应用

计算机科学 ›› 2019, Vol. 46 ›› Issue (11A): 562-566.

OpenMP与环形缓冲技术在TFT-LCD缺陷检测中的应用

胡海兵¹, 徐挺¹, 张波¹, 徐东建¹, 金施群¹, 卢荣胜²

(合肥工业大学特种显示技术国家工程实验室现代显示技术省部共建国家重点实验室光电技术研究院合肥230009)¹;
(合肥工业大学仪器科学与光电工程学院合肥230009)²

出版日期:2019-11-10 发布日期:2019-11-20
通讯作者: 胡海兵(1984-),男,副教授,硕士生导师,主要研究方向为机器视觉、光电检测技术,E-mail:huhb@hfut.edu.cn。
基金资助:
本文受国家重大科学仪器设备开发专项(2013YQ220749)资助。

Application of Open MP and Ring Buffer Technology in Defects Detection of Glass Substrate

HU Hai-bing¹, XU Ting¹, ZHANG Bo¹, XU Dong-jian¹, JIN Shi-qun¹, LU Rong-sheng²

(National Engineering Laboratory of Special Display Technology,National Key Laboratory of Advanced Display Technology,Academy of Photoelectric Technology,Hefei University of Technology,Hefei 230009,China)¹;
(School of Instrument Science and Opto-electronics Engineering,Hefei University of Technology,Hefei 230009,China)²

Online:2019-11-10 Published:2019-11-20

摘要/Abstract

摘要： 针对TFT-LCD玻璃基板缺陷检测过程中数据流量大、数据处理流程复杂、数据输入输出时序性要求高等问题,文中提出了一种使用环形缓冲和Open MP的多线程并行处理方法。该方法利用Open MP技术来实现复杂的多核并行处理,以达到充分利用多核处理器资源来提高数据处理能力的目的。同时,该方法在缺陷数据输入、数据处理、数据输出等流程中,利用环形缓冲技术进行数据分流,从而实现多线程并行处理与实时稳定输出。将该方法应用到实时缺陷检测系统中,使检测系统的处理速度提高了约2～3倍,数据输出时间误差降低了70%～80%,这充分表明了该方法的实用性和有效性。

关键词: Open MP, 并行处理, 环形缓冲, 缺陷检测

Abstract: In the process of defect detection of TFT-LCD glass substrates,in order to solve the problems of large data flow,complex data processing flow and high requirement of timing of data input and output,a multi-threaded parallel processing method by using ring buffer and Open MP was proposed.This method uses Open MP technology to realize multi-core parallel processing of complex processing,so as to make full use of the resources of multi-core processors and improve the ability of data processing.At the same time,in the process of defect data input,data processing and data output,multi-threaded parallel processing and real-time stable output can be realized by ring buffer technology.This me-thod was applied to the real-time defect detection system,and the processing speed of the system is increased by 2 to 3 times,the time error of data output is reduced by 70% to 80%,which fully demonstrates the practicability and effectiveness of this method.

Key words: Circular buffer, Defect detection, Open MP, Parallel processing

中图分类号:

TP311.11

胡海兵, 徐挺, 张波, 徐东建, 金施群, 卢荣胜. OpenMP与环形缓冲技术在TFT-LCD缺陷检测中的应用[J]. 计算机科学, 2019, 46(11A): 562-566. https://doi.org/

HU Hai-bing, XU Ting, ZHANG Bo, XU Dong-jian, JIN Shi-qun, LU Rong-sheng. Application of Open MP and Ring Buffer Technology in Defects Detection of Glass Substrate[J]. Computer Science, 2019, 46(11A): 562-566. https://doi.org/

参考文献

[1]ZHANG T,LU R.Automatic period selection for dft method in the application of tft-lcd panel detection.Journal of Electronic Measurement and Instrumentation,2016,30(3):361-373.
[2]YANG S W,LIN C S,LIN S K,et al.Automatic defect recognition of TFT array process using gray level cooccurrence matrix.Optik-International Journal for Light and Electron Optics,2014,125(11):2671-2676.
[3]LU R S,SHI Y Q,LI Q,et al.AOI Techniques for Surface Defect Inspection.Applied Mechanics and Materials,2010,36:297-302.
[4]卢荣胜,吴昂,张腾达,等.自动光学(视觉)检测技术及其在缺陷检测中的应用综述.光学学报,2018,437(8):23-58.
[5]王亚军,李建文,吉方.基于环形缓冲区的实时系统负载平衡技术.计算机应用与软件,2005,22(4):38-39.
[6]WANG Y.Load balance technique on real time system based on ring buffer .Computer Applications & Software,2005:38-39,112.
[7]KIM C G,KIM J G,LEE D H.Optimizing image processing on multi-core CPUs with Intel parallel programming technologies .Multimedia Tools & Applications,2014,68(2):237-251.
[8]CHAPMAN B M.Shared Memory Parallel Programming withOpen MP .International Workshop on OpenMP Applications and Tools,Springer Berlin Heidelberg,2005.
[9]CHAPMAN B,JOST G,VAN D P R.Using OpenMP:Portable Shared Memory Parallel Programming .Journal of Computer Science & Technology,2010,10(3).
[10]YAMAZAKI I,KURZAK J,WU P,et al.Symmetric Indefinite Linear Solver using OpenMP Task on Multicore Architecture.IEEE Transactions on Parallel and Distributed Systems,2018:1-1.
[11]WU G,CHEN Q,CAO F,et al.Parallel hybrid genetic algorithm for sat problems based on OpenMP∥International Conference on Intelligent Systems & Knowledge Engineering.IEEE,2018.
[12]ZHANG Q,ZHAO Q.Application of Parallel Computing with OpenMP in Global Ionosphere Mapping.Geomatics & Information Science of Wuhan University,2018,43(2):227-233,240.
[13]柳建,孙胜军,毛国平,等.蒙特卡洛模拟的并行实现及并行效率研究.计算机应用与软件,2018,35(1):301-303,339.
[14]崔树林,张旭,张树清,等.基于GPU的大规模栅格数据分块并行处理方法.计算机技术与发展,2015(3):19-22.
[15]LIU Y,YU F.Automatic inspection system of surface defect son optical IR-CUT filter based on machine vision.Optics & Lasers in Engineering,2014,55(7):243-257. [16]房玮睿,王春露.基于缓冲池和多线程的智能交通短信平台设计与实现∥中国通信学会学术年会.2009:7-11.
[17]刘振安,章守信,刘胜璞.并行图像处理算法的设计与实现.测控技术,2003,22(5):5-6.
[18]耿晓中.基于多核分布式环境下的任务调度关键技术研究.长春:吉林大学,2013.
[19]胡海兵,薛源,徐挺,等.ITO导电薄膜表面缺陷的图像特征分析.计算机应用,2017,37(S1):198-200.

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