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一种变化光线下的拼图机器人识别系统

A Recognition System for the Jigsaw Puzzle Robot in Different Brightness
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摘要 文章改进了图像分割和模板匹配技术,提高了系统识别的准确性和鲁棒性,设计并实现了一种适应光线变化的拼图机器人识别系统。文章最后给出了实验与仿真,证明了识别系统的可行性。 This paper has designed and realized a recognition system of the jigsaw puzzle robot which can adapt to changing light and through designing of the hardware and software ; improving image segmentation and template matching technology enhance the correctness of the recognition and realize a robust system. At last, the experiments prove the feasibility of the recognition system.
作者 顾骏 曹其新 倪菲
机构地区 上海交通大学机械与动力工程学院
出处 《机电一体化》 2006年第5期48-51,共4页 Mechatronics
关键词 拼图机器人 机器视觉 图像分割 模板匹配 jigsaw puzzle robot machine vision image processing template matching
分类号 TP242 [自动化与计算机技术—检测技术与自动化装置]
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参考文献11

  • 1Jamzad M,Sadjad B,Mirrokni V,et al.A fast vision system for middle size robots in RoboCup.In RoboCup 2001 Robot Soccer World Cup V,number 2377 in Lecture Notes in Artificial Intelligence,2002:71-80.
  • 2Sylvain C,Julien E,Aude B.A humanoid robot drawing human portraits.In Proceedings of the IEEE-RAS International Conference on Humanoid Robots,2005.
  • 3Mayer G,Kraetzschmar G K,Utz H.Playing robot soccer under natural light:A case study.7th International Workshop on RoboCup 2003,Lecture Notes in Artificial Intelligence Springer,2004.
  • 4Arthur M,Stefan W,Martin R.Line based robot localization under natural light conditions.ECAI 2004 Workshop on Agents in Dynamic and Real Time Environments,2004.
  • 5Gregor K,Omar O,Drago M,et al.Robust and efficient vision system for mobile robot control:Application to soccer robots.Electrotechnical Review,Electrical Engineering and Computer Science,2001,68(5):6 -312.
  • 6Klancar G,Kristan M,Kovacic S.Robust and efficient vision system for group of cooperating mobile robots with application to soccer robots.ISA Transactions,2004(43):329 -342.
  • 7Gunter H,Bastian L,Paul L.3D object recognition from range images using local feature histograms.Proceeding IEEE,2004.
  • 8郭礼华,李建华,杨树堂.综合区域和边界信息的图像自适应分割技术[J].上海交通大学学报,2005,39(4):522-526. 被引量：4
  • 9薛景浩,章毓晋,林行刚.一种新的图像模糊散度阈值化分割算法[J].清华大学学报（自然科学版）,1999,39(1):47-50. 被引量：20
  • 10Pal N R,Pal S K.A review on image Segmentation techniques.Pattern Recognition,1993,26:1277-1294.

二级参考文献9

  • 1Tsai D M，Pattern Recognition Lett，1992年，13期，245页
  • 2Gonzalez R C, Woods R E. Digital image processing [M]. 2nd ed. New Jersey: Prentice Hall, 2002.
  • 3Pal N R, Pal S K. A review on image segmentation techniques [J]. Pattern Recognition, 1993, 26 (9):1277-1294.
  • 4Han F, Tu Z, Zhu S. Range image segmentation by an effective jump-diffusion method[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2004, 26(9): 1138-1153.
  • 5Cinque L, Foresti G, Lombardi L. A clustering fuzzy approach for image segmentation[J]. Pattern Recognition, 2004, 37(9): 1797-1807.
  • 6Vincent L,Soille P. Watershed in digital spaces: an efficient algorithms based immersion simulations[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13(6): 533- 598.
  • 7Wang D. A multiscale gradient algorithm for image segmentation using watersheds[J]. Pattern Recognition, 1997, 30(12): 2043-2052.
  • 8Shen D F, Huang M T. A watershed-based image segmentation using JND property[A]. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing [C]. HongKong: [s.n.], 2003.377-380.
  • 9Perez D G,Gu C,Sun M T. Semantic video object extraction using four-band watershed and partition lattice operators[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2001,11(5): 603-618.

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机电一体化
2006年 第5期

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