
浏览全部资源
扫码关注微信
武汉科技大学 信息科学与工程学院, 湖北 武汉 430081
[ "苗姣姣(1990-),女,河北邯郸人,硕士研究生,主要从事图像处理,信号与信息处理的研究。E-mail:874692989@qq.com" ]
刘毅敏(1973-),女,副教授,主要从事智能信息处理,工业生产过程信息化,自动检测技术,嵌入式系统的研究。E-mail:liuymwzs@sohu.com
收稿日期:2016-01-08,
录用日期:2016-3-3,
纸质出版日期:2016-07
移动端阅览
苗姣姣, 刘毅敏. 基于图像处理的螺丝钉计数方法研究[J]. 液晶与显示, 2016,31(7):721-725.
Jiao-jiao MIAO, Yi-min LIU. Screw counting method based on image processing[J]. Chinese journal of liquid crystals and displays, 2016, 31(7): 721-725.
苗姣姣, 刘毅敏. 基于图像处理的螺丝钉计数方法研究[J]. 液晶与显示, 2016,31(7):721-725. DOI: 10.3788/YJYXS20163107.0721.
Jiao-jiao MIAO, Yi-min LIU. Screw counting method based on image processing[J]. Chinese journal of liquid crystals and displays, 2016, 31(7): 721-725. DOI: 10.3788/YJYXS20163107.0721.
针对传统仓库管理系统中螺丝钉统计计数难题,将数字图像处理引入到螺丝钉检测计数中。提出了一种基于图像处理的螺丝钉自动计数方法。首先对未放置螺丝钉的货架进行处理,检测并记录放置螺丝钉的位置等信息,建立模板。在建立模板的过程中
采用人机交互的方式进行校正,能够有效地解决光照、噪声等带来的影响,从而建立准确的模板。然后将未放置螺丝钉的图像(模板图)与待检测图像相减,突出放置螺丝钉后的位置的特征。最后采用模板匹配法,检测对应位置是否存在螺丝钉。实验表明:该方法能够有效地解决货架受损、螺丝钉氧化和噪声干扰等情况带来的影响,并且实现简单。计数准确率高达98%以上,平均检测时间为3.67 ms,很大程度地提升了仓库管理性能。
In view of screws counting problem in traditional warehouse management system
digital image processing is introduced to the detection and counting of screws. A method for screws automatic counting based on image processing ispresented.Processing the shelves without placing screws is to detect and record placed screw position information
establishing the template.In order to establish an accurate template
a way of human-computer interaction is proposed to correct
which can effectively solute the impact of light
noise
etc.Then unplaced screws image (template image) subtracts the detected image
standing out the features of placed screws. Finally
template matching is used to position the screws. Experimental results show that this method can effectively solve the impact of shelves damaged
screws oxidation and noise interference
and realizes simple. Counting accuracy rate of this method can achieve above 98%
and average detection time is 3.67 ms
significantly improving warehouse management capabilities.
张少军,苟中魁,李庆利,等.利用数字图像处理技术测量直齿圆柱齿轮几何尺寸[J].光学精密工程,2004,12(6):619-625.
ZHANG S J,GOU Z K,LI Q L,et al.Digital image processing technology for spur gear measurement[J].Optics and Precision Engineering,2004,12(6):619-625.(in Chinese)
侯维岩,张利伟,党蟒,等.一种基于图像处理的棒材计数测量系统的设计与实现[J].仪器仪表学报,2013,34(5):1100-1106.
HOU W Y,ZHANG L W,DANG M,et al. Design and implementation of bar count measurement system based on image processintang[J].Chinese Journalof Scientific Instrument, 2013,34(5):1100-1106.(in Chinese)
王彩云.基于数字图像处理的智能电表螺钉识别与定位技术研究[D].广州:华南理工大学,2012. http://cdmd.cnki.com.cn/article/cdmd-10561-1012451760.htm
WANG C Y.Smart meter screw identification and positioning technology research based on digital image processing[D].Guangzhou:South China University of Technology,2012.(in Chinese)
郭杰,雷刚,陈健生,等.基于机器视觉的钢包头检测系统设计[J].液晶与显示,2013,28(5):770-775.
GUO J,LEI G,CHEN J S,et al. Design of steel toecaps inspection system based on machine vision[J].Chinese Journal of Liquid Crystals and Displays,2013,28(5):770-775.(in Chinese)
张铮,王艳平,薛桂香.数字图像处理与机器视觉——Visual C++与Matlab实现[M].北京:人民邮电出版社,2010.
ZHANG Z,WNAG Y P,XUE G X.Digital Image Processing and Machine Vision——Visual C++and MatlabRealize[M].Beijing:Posts&Telecom Press,2010.(in Chinese)
段瑞玲,李庆祥,李玉和.图像边缘检测方法研究综述[J].光学技术,2005,31(3):415-419.
DUAN R L,LI Q X,LI Y H.Summary of image edge detection[J].Optical Technique,2005,31(3):415-419.(in Chinese)
张达,谢植,艾江山.棒材在线计数中断面定位方法研究[J].仪器仪表学报,2010,31(5):1173-1178.
ZHANGD,XIE Z,AI J S.Research on rebar section positioning method in online rebar counting system[J].Chinese Journalof Scientific Instrument, 2010,31(5):1173-1178.(in Chinese)
周群,胡光锐.基于模板覆盖法的钢筋在线计数方法[J].上海交通大学学报,1999,33(11):1462-1464.
ZHOU Q,HU G R.Real-time counting of reinforcing barbased on template covering[J].Journal of Shanghai Jiaotong University,1999,33(11):1462-1464.(in Chinese)
林玉池,崔彦平,黄银国.复杂背景下边缘提取与目标识别方法研究[J].光学精密工程,2006,14(3):509-514.
LIN Y C,CUI Y P,HUANG Y G.Study on edge detection and target recognition in complex background[J].Optics and Precision Engineering, 2006,14(3):509-514.(in Chinese)
WU T R,TOET A.Speed-up template matching through integral image based weak classifiers[J].Journal of Pattern Recognition Research,2014,9(1):1-12.
孙可,张钧萍.局部自适应方向模板匹配的高分辨率遥感影像道路提取[J].光学精密工程,2015,23(10):509-515.
SUN K,ZHANG J P.Road extraction from high-resolution remote sensing imagery based on local adaptive directional template match[J].Optics and Precision Engineering,2015,23(10):509-515.(in Chinese)
0
浏览量
21
下载量
1
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621