[1]易燕,郑力新,周凯汀,等.布匹疵点检测多机任务并行处理平台的构建[J].华侨大学学报(自然科学版),2014,35(3):268-272.[doi:10.11830/ISSN.1000-5013.2014.03.0268]
　YAN Yi,ZHENG Li-xin,ZHOU Kai-ting,et al.Construction of a Parallel Processing Platform for Fabric Defects Detection Based on Multiprocessor Task[J].Journal of Huaqiao University(Natural Science),2014,35(3):268-272.[doi:10.11830/ISSN.1000-5013.2014.03.0268]
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布匹疵点检测多机任务并行处理平台的构建()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第35卷
期数:
2014年第3期
页码:
268-272
栏目:
出版日期:
2014-05-16

文章信息/Info

Title:
Construction of a Parallel Processing Platform for Fabric Defects Detection Based on Multiprocessor Task
文章编号:
1000-5013(2014)03-0268-05
作者:
易燕1;  郑力新2;  周凯汀1;  林似水3
1. 华侨大学 信息科学与工程学院, 福建 厦门 361021;2. 华侨大学 工学院, 福建 泉州 362021;3. 厦门科华恒盛股份有限公司, 福建 厦门 361008
Author(s):
YAN Yi1;  ZHENG Li-xin2;  ZHOU Kai-ting1;  LIN Si-shui3
1. College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China; 2. College of Engineering, Huaqiao University, Quanzhou 361021, China; 3. Xiamen Kehua Hengsheng Company Limited, Xiamen 361008, China
关键词:
布匹疵点;  图像采集;  并行处理;  动态任务;  松耦合;  用户数据报协议
Keywords:
defects detection;  image capture;  parallel processing;  dynamic task;  loose coupling;  user datagram protocol
分类号:
TP302.1
DOI:
10.11830/ISSN.1000-5013.2014.03.0268
文献标志码:
A
摘要:
针对布匹疵点检测算法复杂度高、实时性差等问题,提出一种以多台计算机并行处理为基础的布匹疵点检测平台的构建方案.首先,改进多处理器硬件体系为松耦合方式;然后,根据图像处理算法一般流程,抽象出图像处理模型,并依据模型将处理算法以任务的形式进行分解、封装;最后,通过构建简单实用的用户数据报协议,将任务传输给相应的客户端进行解析处理.结果表明:平台切实可行,检测算法得到显著的加速.
Abstract:
According to the problems of high complexity and poor real-time, an approach is proposed to design the platform for fabric defects detection based on multiprocessor parallel processing technology. Firstly, a method is proposed to improve the multiprocessor hardware system as loose coupling. Secondly, a method is proposed to abstract the model of image processing based on the general process of image processing algorithms, and then using the form of task to disintegrate and package the processing algorithm based on the model. Lastly, a method is proposed to transform the task to the corresponding clients to analyze and handle by building a simple and practical user datagram protocol.The experimental results show that the platform is feasible and the detection algorithm has been significantly accelerated.

参考文献/References:

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相似文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2013-08-10
通信作者: 郑力新(1967-),男,教授,主要从事机器视觉与计算机控制的研究.E-mail:1275373176@qq.com.
基金项目: 福建省科技创新平台基金资助项目(2013H2002); 福建省泉州市科技计划项目(2011G74)
更新日期/Last Update: 2014-05-20