用户名: 密码: 验证码:
激光光斑边缘检测算子的研究进展
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Research Progress of Laser Spot Edge Detection Operator
  • 作者:张英明 ; 李永亮 ; 张翼鹏 ; 胡伟伟 ; 刘泓鑫 ; 顾小琨
  • 英文作者:ZHANG Ying-ming;LI Yong-liang;ZHANG Yi-peng;HU Wei-wei;LIU Hong-xin;GU Xiao-kun;The School of Opto-electronics Engineering,Changchun University of Science and Technology;
  • 关键词:激光光斑 ; 定位精度 ; 边缘检测
  • 英文关键词:laser spot;;positional accuracy;;edge detection
  • 中文刊名:LZGX
  • 英文刊名:Journal of Quantum Optics
  • 机构:长春理工大学光电工程学院;
  • 出版日期:2018-11-12 15:12
  • 出版单位:量子光学学报
  • 年:2019
  • 期:v.25;No.94
  • 基金:国家自然科学基金(编号:61675035);; 吉林省产业技术研究与开发项目(编号:2016C085)
  • 语种:中文;
  • 页:LZGX201901015
  • 页数:8
  • CN:01
  • ISSN:14-1187/O4
  • 分类号:115-122
摘要
光斑的边缘检测算子对一幅激光光斑的质量有着重要的影响,是激光光斑的后续图像处理和分析的前提。目前,在国内外应用比较广泛的边缘检测算子主要有Roberts算子、Prewitt算子、Sobel算子、Gaussion-Laplace算子和Canny算子。本文在总结几种典型边缘检测算子的基础上,对比分析了各个算子的优点和不足,对未来算子的改进方向做出展望。
        The edge detection operator of the spot has an important influence on the quality of a laser spot,and is the premise of subsequent image processing and analysis of the laser spot.At present,the most widely used edge detection operators at home and abroad are Roberts operator,Prewitt operator,Sobel operator,Gaussion-Laplace operator and Canny operator.On the basis of summarizing several typical edge detection operators,this paper compared and analyzed the advantaged and disadvantaged of each operator,and forecast the improvement direction of future operators.
引文
[1]胡瑞琦.基于遥感影像农村耕地边界提取方法研究[D].西安:西安科技大学,2015.
    [2]丘赟立.多种边缘检测在电影电视图像字幕提取中的探索与实践[J].有线电视技术,2016(3):97-100.DOI:10.3969/j.issn.1008-5351.2016.03.026.
    [3]廖发建.激光器远场光轴稳定性检测系统研究[D].南京:南京理工大学,2015.
    [4]呼进国.基于机器视觉的毒株胚蛋成活性自动无损检测系统研究[D].青岛:青岛科技大学,2014.
    [5]Tang Y,Huang W.The Based Laplace Edge Detection Algorithm on Virtual Plant System Research and Implementation[J].Journal of Agricultural Mechanization Research,2013,35(1):43-48.DOI:10.3969/j.issn.1003-188X.2013.01.011.
    [6]Jiang B.Real-time Multi-resolution Edge Detection with Pattern Analysis on Graphics Processing Unit[J].Journal of Real-Time Image Processing,2018,14(2):293-321.http:∥dx.doi.org/10.1007/s11554-014-0450-x.
    [7]Ganesan P,Sajiv G.A Comprehensive Study of Edge Detection for Image Processing Applications[C]∥International Conference on Innovations in Information,Embedded and Communication Systems.IEEE,2018:1-6.http:∥dx.doi.org/10.1109/ICIIECS.2017.8275968.
    [8]Huang Y,Li W.Steganography Algorithm based on Prewitt Edge Detection and Diamond Encoding[J].Application Research of Computers,2018,35(4):1187-1196.DOI:10.3969/j.issn.1001-3695.2018.04.048.
    [9]Sun Q,Hou Y,Tan Q.A Subpixel Edge Detection Method Based on an Arctangent Edge Model[J].Optik-International Journal for Light and Electron Optics,2016,127(14):5702-5710.
    [10]文德仲.常见算子的边缘检测介绍及其算法研究[J].山东工业技术,2016(16):213-213.DOI:10.16640/j.cnki.37-1222/t.2016.16.198.
    [11]Othman Z,Abdullah A.An Adaptive Threshold Based on Multiple Resolution Levels for Canny Edge Detection[M]∥Recent Trends in Information and Communication Technology.2018:316-323.http:∥dx.doi.org/10.1007/978-3-319-59427-9-34.
    [12]Rakshit P,Bhaumik D,Bhowmik K,et al.A Comparative Assessment of the Performances of Different Edge Detection Operator using Harris Corner Detection Method[J].International Journal of Computer Applications,2013,59(19):7-13.
    [13]王宝树,许庆功.康牧一种Roberts自适应边缘检测方法[J].西安交通大学学报,2008,42(10):1240-1244.DOI:10.3321/j.issn:0253-987X.2008.10.010.
    [14]文永革.一种改进的Roberts和灰色关联分析的边缘检测算法[J].图学学报,2014,35(4):637-642.DOI:10.3969/j.issn.2095-302X.2014.04.025.
    [15]Wang F,Zhang M,Gong L.Image Edge Detection Algorithm of Roberts Operator[J].Journal of Detection&Control,2016,38(2):88-92.
    [16]Fang H.Prewitt Edge Detection Operator Based on the FPGA Implementation[J].Natural Science Journal of Harbin Normal University,2015,31(2):72-76.DOI:10.3969/j.issn.1000-5617.2015.02.022.
    [17]臧晶.Prewitt改进算法的研究与实现[J].沈阳理工大学学报,2012,31(1):28-30.DOI:10.3969/j.issn.1003-1251.2012.01.008.
    [18]Zhao H,Sun X,Huang Y.Edge Detection of Eight Directions Prewitt Algorithm Based on Otsu[J].Science Mosaic,2015(1):57-60.DOI:10.3969/j.issn.1671-4792.2015.01.005.
    [19]邹柏贤,张然,苗军.Prewitt图像边缘检测方法的改进[J].微电子学与计算机,2013,30(5):23-26.
    [20]Ren X Q,Wang P,Bo H U,et al.The Optimization Design and Implementation of Prewitt Image Edge Detection Algorithm[J].China Integrated Circuit,2016,25(7):34-38.DOI:10.3969/j.issn.1681-5289.2016.07.005.
    [21]武亚沙,张有会,邱志宇.8方向自适应权值Sobel边缘检测算子[J].河北师范大学学报(自然科学版),2015(4):294-299.
    [22]Zheng Y J,Zhang Y H,Wang Z W,et al.Edge Detection Algorithm Based on the Eight Directions Sobel Operator[J].Computer Science,2013,40(s2):354-356.
    [23]夏清.基于改进Sobel算子的红外图像边缘提取算法[J].激光与红外,2013,43(10):1158-1161.DOI:10.3969/j.issn.1001-5078.2013.10.17.
    [24]夏清,胡振琪,许立江,等.一种改进Sobel算子的热红外影像边缘检测方法[J].红外技术,2015,37(6):462-466.
    [25]何春华,张雪飞,胡迎春.基于改进Sobel算子的边缘检测算法的研究[J].光学技术,2012,38(3):323-327.
    [26]Guo T,Chen C.Research on Edge Detection Algorithm Based on Sobel Operator[J].Science Mosaic,2015(2):17-20.DOI:10.3969/j.issn.1671-4792.2015.02.003.
    [27]高飞,黄启宏,程卫东,等.Sobel边缘检测算子的改进研究[J].数字技术与应用,2016(1):143-145.
    [28]Shen D H,Zhang L C,Xu E.An Improved Edge Detection Algorithm based on Sobel Operator[J].Information Technology,2015,347-350(4):3541-3545.DOI:10.13274/j.cnki.hdzj.2015.04.005.
    [29]张棋,贾方秀,殷婷婷.基于改进Sobel算法的实时图像边缘检测系统设计[J].仪表技术与传感器,2018(2).
    [30]宁赛男,朱明,孙宏海,等.一种改进的Sobel自适应边缘检测的FPGA实现[J].液晶与显示,2014,29(3):395-402.DOI:10.3788/YJYXS20142903.0395.
    [31]Shen D H,Hou J,Xu E,et al.Gauss Noise Filtering Algorithm using Multi-subwindow Median Weighting[J].Modern Electronics Technique,2015(5):81-84.DOI:10.3969/j.issn.1004-373X.2015.09.013.
    [32]梁娟.一种基于Sobel图像边缘检测的改进算法[J].软件导刊,2014(12).DOI:10.11907/rjdk.143576.
    [33]Mallick A,Roy S,Chaudhuri S S,et al.Optimization of Laplace of Gaussian(LoG)Filter for Enhanced Edge Detection:A New Approach[C]∥International Conference on Control,Instrumentation,Energy and Communication.IEEE,2014:658-661.DOI:10.1109/CIEC.2014.6959172.
    [34]Karande K J,Talbar S N.Laplacian of Gaussian Edge Detection for Face Recognition Using ICA[M]∥Independent Component Analysis of Edge Information for Face Recognition.Springer India,2014:35-47.
    [35]Anand A,Tripathy S S,Kumar R S.An Improved Edge Detection using Morphological Laplacian of Gaussian Operator[C]∥International Conference on Signal Processing and Integrated Networks.IEEE,2015:532-536.
    [36]Dhar R,Gupta R,Baishnab K L.An Analysis of CANNY and LAPLACIAN of GAUSSIAN Image Filters in Regard to Evaluating Retinal Image[C]∥International Conference on Green Computing Communication and Electrical Engineering.IEEE,2014:1-6.
    [37]朱凌峰.基于单目视觉的爬壁机器人定位系统研究[D].杭州:浙江大学,2018.
    [38]贺强,晏立.基于LOG和Canny算子的边缘检测算法[J].计算机工程,2011,37(3):210-212.DOI:10.3969/j.issn.1000-3428.2011.03.074.
    [39]Xiang W U,Weibo Y U,Yanhui M A,et al.A New Improved Canny Image Edge Detection Algorithm[J].Imaging Science&Photochemistry,2016,34(1):116-121.DOI:10.7517/j.issn.1674-0475.2016.01.116.
    [40]李俊山,马颖,赵方舟等.改进的Canny图像边缘检测算法[J].光子学报,2011,40(s1):50-54.DOI:10.3788/gzxb201140s1.0050.
    [41]Liu K P,Xi-Wei L I,Sui J L,et al.Workpiece Edge Detection Method based on Improved Canny Algorithm[J].Journal of Guangxi University,2017,42(6):2022-2029.DOI:10.13624/j.cnki.issn.1001-7445.2017.2022.
    [42]Sun Z,Shao X,Wang Z,et al.The Improved Adaptive Canny Edge Detection Algorithm[J].Electrical Measurement&Instrumentation,2016,53(6):17-21.DOI:10.3969/j.issn.1001-1390.2016.06.004.
    [43]Xu Q,Varadarajan S,Chakrabarti C,et al.A Distributed Canny Edge Detector:Algorithm and FPGA Implementation[J].Image Processing IEEE Transactions on,2014,23(7):2944-2960.
    [44]徐亮,魏锐.基于Canny算子的图像边缘检测优化算法[J].科技通报,2013(7):127-131.DOI:10.3969/j.issn.1001-7119.2013.07.024.
    [45]孙凯乐,郭显久,张烜,等.基于改进Canny算法的边缘检测[J].电脑编程技巧与维护,2018(6).DOI:10.13624/j.cnki.issn.1001-7445.2017.2022.
    [46]王小俊,刘旭敏,关永.基于改进Canny算子的图像边缘检测算法[J].计算机工程,2012,38(14):196-198.DOI:10.3969/j.issn.1000-3428.2012.14.059.
    [47]Hong-Ke XU,Qin Y Y,Chen H R.An Improved Algorithm for Edge Detection Based on Canny[J].Infrared Technology,2014,36(3).DOI:10.13274/j.cnki.hdzj.2018.01.014.
    [48]段锁林,殷聪聪,李大伟.改进的自适应Canny边缘检测算法[J].计算机工程与设计,2018(6).DOI:10.16208/j.issn1000-7024.2018.06.026.
    [49]Cui L,Zhang Y,Tian X,et al.Fusion of Double Threshold and Improved Morphological Edge Detection[J].Computer Engineering&Applications,2017,53(9):190-194.DOI:10.3778/j.issn.1002-8331.1510-0223.
    [50]肖瑞莹,杨帆,董正宏.用于Canny算子边缘检测的广度优先算法研究[J].计算机技术与发展,2018(6).DOI:10.3969/j.issn.1673-629X.2018.06.009.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700