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浙江大学学报(工学版)
浙江大学学报(工学版)
计算机技术、信息电子     
喷墨印花运动纹理的混态MRF检测算法
冯志林1,周佳男2,陈伟杰1,尹建伟3
1. 浙江工业大学之江学院 信息工程学系,浙江 杭州 310024；2. 浙江商业职业技术学院 信息技术学院,浙江 杭州 310053；3. 浙江大学 计算机科学与技术学院,浙江 杭州 310027
Mixed state MRF detection algorithm for ink jet printing motion texture
FENG Zhi lin1, ZHOU Jia nan2, CHEN Wei jie2, YIN Jian wei3
1.Department of Information and Engineering, College of Zhijiang, Zhejiang University of Technology, Hangzhou 310024,China；2. College of Information Technology, Zhejiang Vocational College of Commerce, Hangzhou 310053,China; 3. College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China;
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摘要：

针对喷墨印花织物在噪声环境下缺陷检测精度低的问题,提出一种基于混态马尔可夫随机场(MRF)模型的喷墨印花运动纹理检测算法.该算法利用运动纹理的时 空域特征表示,引入运动纹理的混态MRF模型,构建同时包含运动状态和背景状态的运动纹理特征图.为了有效提高模型对复杂纹理背景的表征能力,建立基于混态MRF模型的运动纹理检测模型,并将运动纹理检测过程转化为特征能量最小化问题.采用改进ICM优化求解算法,实现运动纹理检测和动态背景重构,有效提高运动纹理检测精度.实验结果表明：该算法能够有效检测出喷墨印花织物缺陷纹理,并且具有较强的抗噪声干扰能力. 
Abstract:

A novel motion texture detection algorithm based on the mixed state Markov random field (MRF) model was proposed to deal with the problem of low accuracy in defect detection of ink jet printing fabric under noisy environment. The representation of spatio temporal features was applied for motion texture. Meanwhile, a mixed state MRF model was introduced to constructing a feature map of motion texture, where motion and background states could be jointly modeled. Furthermore, a mixed state MRF detection model for motion texture was presented to enhance the capability representation of dynamic background texture changes. The process of motion texture detection was formulated into the feature energy minimization problem. A novel ICM optimization algorithm was employed to deal with the problem of simultaneous motion texture detection and dynamic background reconstruction to improve the detection accuracy of motion texture. The experimental results show that the proposed algorithm can effectively detect defect texture from ink jet printing fabric and has strong anti jamming ability against noise．
出版日期: 2015-10-15
:  TP 391  
基金资助:

国家自然科学基金资助项目(11426202)；浙江省自然科学基金资助项目(LY13F020027, LQ13F030010)；浙江省科技厅公益技术研究资助项目(2015C31088)
通讯作者: 尹建伟,男,教授. ORCID: 0000 0002 2377 1196     E-mail: zjuyjw@zju.edu.cn
作者简介: 冯志林(1977-), 男, 教授，从事视频图像处理研究. ORCID: 0000 0001 9998 7447. E-mail: pearl1360@163.com
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冯志林,周佳男,陈伟杰,尹建伟. 喷墨印花运动纹理的混态MRF检测算法[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008 973X.2015.09.005.

FENG Zhi lin, ZHOU Jia nan, CHEN Wei jie, YIN Jian wei. Mixed state MRF detection algorithm for ink jet printing motion texture. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008 973X.2015.09.005.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008 973X.2015.09.005    或    http://www.zjujournals.com/eng/CN/Y2015/V49/I9/1642

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