一种基于同态滤波的陶瓷防眩光处理技术研究
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摘要
机器视觉检测技术的普及能够有效提高企业陶瓷的生产效率,然而目前机器视觉技术在日用陶瓷检测领域的应用较少。其主要原因是:基于陶瓷的机器视觉在线检测存在一个典型问题——陶瓷眩光。此现象会严重影响陶瓷图像的采集和后续的智能处理。本论文针对陶瓷表面存在眩光的问题,提出一种基于同态滤波的陶瓷防眩光处理技术。本算法不仅可以解决眩光造成的细节不清晰问题,同时还能较清晰还原陶瓷图像的细节。实验结果表明,本文提出的防眩光算法具有较好的实用性。
With the development of machine vision detection techniques, the efficiency of product production and inspection is greatly improved. However, machine vision techniques are not widely employed in ceramic field. One of the critical reasons is that ceramic glare may significantly affect the inspection accuracy. To prevent glare from ceramic surface, this paper proposes a novel homomorphic filtering-based anti-glare scheme. As a pre-processing phase, this algorithm can effectively remove ceramic glare and facilitate high-quality ceramic image acquirement. The experimental results show that the proposed anti-glare algorithm has desired practicability.
With the development of machine vision detection techniques, the efficiency of product production and inspection is greatly improved. However, machine vision techniques are not widely employed in ceramic field. One of the critical reasons is that ceramic glare may significantly affect the inspection accuracy. To prevent glare from ceramic surface, this paper proposes a novel homomorphic filtering-based anti-glare scheme. As a pre-processing phase, this algorithm can effectively remove ceramic glare and facilitate high-quality ceramic image acquirement. The experimental results show that the proposed anti-glare algorithm has desired practicability.
引文
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[3]夏纪真.国内外无损检测技术的现状与发展.《昆明国际无损检测仪器展览会论文集[C].2011.
[4]张开良.在线式声振检测应用技术研究[J].无损探伤,2012,(5):35-37.ZHANG K L.Nondestructive Test,2012,(5):35-37.
[5]严发根,刘建群,陈新,等.机器视觉及其在制造业中的应用[J].机器制造,2004,42(11):28-30.YAN F G,LIU J Q,CHEN X,et al.Machinery,2004,42(11):28-30.
[6]卢炳奇.基于机器视觉的应变测量技术研究[D].硕士毕业论文,济南大学,2013.
[7]田欣利,王健全,但伟,等.工程陶瓷微缺陷无损检测技术的研究进展[J].中国机械工程,2010,(21):2639-2645.TIAN X L,WANG J Q,DAN W,et al.China Mechanical Engineering,2010,(21):2639-2645.
[8]刘增华,王娜,何存富,等.基于压电陶瓷片的Lamb波单模态激励及缺陷检测的实验研究[J].北京工业大学学报,2011,37(10):1453-1458.LIU Z H,WANG N,HE C F,et al.Journal of Beijing University of Technology,2011,37(10):1453-1458.
[9]谢永,章义来,黄华.墙地砖表面缺陷自动检测集成系统的研究[J].中国陶瓷,2008,44(4):56-58.XIE Y,ZHANG Y L,HUANG H.China Ceramics,2008,44(4):56-58.
[10]谢琥.基于ARM9的日用陶瓷嵌入式圆度测量系统[D].硕士学位论文,景德镇陶瓷学院,2007.
[11]王俊祥,彭华仓,胡鸿豪,等.基于计算机视觉的陶瓷圆度快速检测系统研究[J].陶瓷学报,2015,36(5):530-535WANG J X,PENG H C,HU H H,et al.Journal of Ceramics,2015,36(5):530-535.
[12]WANG JUNXIANG,LIU YING,ZHANG DONG,et al.A new computer vision based multi-indentation inspection system for ceramics[J].Multimedia Tools and Application,2016,76(2):1-19.
[13]陈春宁,王延杰.在频域中利用同态滤波增强图像对比度[J].微计算机信息,2007,23(6):264-266.CHEN C N,WANG Y C.Microcomputer Information,2007,23(6):264-266..
[14]胡窦明,赵海生,李云川,等.一种基于同态滤波的红外图像增强新方法[J].红外技术,2012,34(4):224-228.HU D M,ZHAO H S,LI Y C,et al.Infrared Technology,2012,34(4):224-228.