期刊文献+

改进型纯相位相关亚像素级安瓿药液图像配准研究 被引量:1

Research on ampoule liquid medicine sub-pixel image registration based on modified phase-only correlation
下载PDF
导出
摘要 提出了一种基于改进的纯相位相关亚像素级安瓿药液图像配准算法,有效解决了安瓿药液可见异物视觉检测系统中,由于机械零部件加工装配精度、受力偏载等因素引起的平台振动以及跟踪摆臂与图像传感器的不同步,使获取的安瓿药液序列图像出现不同程度随机方向上的偏移造成的图像处理算法难度大的难题,大幅降低了运算量.实验数据表明,文中方法在保持同等配准精度和误差的情况下,执行时间由最高的9.1843 s减少到0.1331 s,提高了图像配准的实时性,为后续可见异物的精确提取奠定了坚实的基础. Mechanical parts' manufacturing and assembling accuracy, offset load force, asynchrony between tracing arm and CCD cameras can cause random displacements at different degree during ampoule sequential image acquisition in vision-based foreign particle image inspection system. These displacements will bring great challenges to the recognition of the visible particles in the liquid. Therefore, a simplified phase-only correlation based on sub-pixel image registration algorithm is proposed which can greatly reduce the computation complexity. According to the experiments, the running time is reduced sharply from maximal 9.1843 s to 0.1331 s under the condition of keeping the same registration accuracy and error. The proposed algorithm improves the registration real-time and lays a solid foundation for the following foreign particleextraction.
出处 《江西理工大学学报》 CAS 2013年第1期59-63,共5页 Journal of Jiangxi University of Science and Technology
基金 国家863计划项目(2007AA04Z244) 国家自然科学基金重点项目(60835004) 江西理工大学科研基金项目计划(jxxj12035)
关键词 纯相位相关 亚像素配准 安瓿药液 可见异物检测 视觉检测机器人 phase-only correlation sub-pixel image registration ampoule liquid medicine foreign particleinspection vision-based inspection robot
  • 相关文献

参考文献12

  • 1赵静,方新林,孟力.静脉输液中不溶性微粒危害的预防措施[J].现代预防医学,2005,32(9):1213-1213. 被引量:34
  • 2葛继,王耀南,张辉,周博文.基于改进型PCNN的智能灯检机研究[J].仪器仪表学报,2009,30(9):1866-1873. 被引量:21
  • 3张耀,王耀南,周博文.异型瓶药液中可见异物的智能视觉检测机器人[J].仪器仪表学报,2010,31(5):1058-1063. 被引量:16
  • 4周博文,王耀南,葛继,张辉.基于机器视觉的医药注射剂智能检测系统研究[J].机器人,2009,31(1):53-60. 被引量:21
  • 5Brown L G, A survey of image registration techniques [J]. ACM Compttting Surveys, 1992, 24(4): 325-376.
  • 6ZitovoB, Flusser J. Image registration methods: a survey[J], hnage and Vision Computing, 2003, 21(11): 977-1000.
  • 7Takita K. Aoki T, Sasaki Y. et al. High-accuracy subpixel image registration based on phase-only ton'elation[J]. IEICE Transactions on Fundamentals of Electronics, Conununications and Computer Sciences. 2003, E86-A(8): 1925-1934.
  • 8Nagashima S, Aoki T, Higuehi T, et al. A sub-pixel image matching technique using phase-.only eon'elation [C]// Japan : International Symposium on Intelligent Signal Processing and Communieations, 2006, 701-704.
  • 9Muquit M A, Shibahara T, Aoki T. A high-accuracy passive 3D measurement system using phase-based image matching[J]. 1EICE Transactions on Fundamentals of Electronics, C)mmunications anti Computer Sciences, 2006: E89-A(3): 686-697.
  • 10Krafi A J, Zamecnik P, Maier F, et al. Passive marker tracking via phase-only cross correlation (POCC) for MR-guided needle inierventionnitial in vivo experience[J]. Physica Medica,ln Press.

二级参考文献36

共引文献77

同被引文献11

  • 1WANG Y, GE J, ZHANG H, et al. Intelligent injection liquid particle inspection machine based on two-dimensional Tsallis Entropy with modified pulse-coupled neural networks [J]. Engineering Applications of Artificial Intelligence(S0952-1976), 2011, 24(4): 625-637.
  • 2LIU C, Yuen J, Torralba A. Sift flow: Dense correspondence across scenes and its applications [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828), 2011, 33(5): 978-994.
  • 3Alba A, Arce-Santana E, Aguilar-Ponce R M, et al. Phase-correlation guided area matching for realtime vision and video encoding [J]. Journal of Real-Time Image Processing(S1861-8200), 2012: 1-13.
  • 4Kolar R, Sikula V, Base M. Retinal image registration using phase correlation [C]// Proceedings of the 20th International Eurasip Conference on Analysis of Biomedical Signals and Images, 2010, 20: 244-252.
  • 5Miura M, Sakai S, Aoyama S, et al. High-accuracy image matching using phase-only correlation and its application [C]//2012 Proceedings of IEEE on SICE Annual Conferenee, Akita Japan, Akita University, August20-23, 2012: 307-312.
  • 6Foroosh H, Zerubia J B, Berthod M. Extension of phase correlation to subpixel registration [J]. IEEE Transactions on Image Processing(S1057-7149), 2002, 11(3): 188-200.
  • 7Takita K, MUQUIT M A, HIGUCHI T. A sub-pixel correspondence search technique for computer vision applications [J]. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences(S0916-8508), 2004, 87(8): 1913-1923.
  • 8Ren J, Jiang J, Vlachos T. High-accuracy sub-pixel motion estimation from noisy images in Fourier domain [J]. IEEE Transactions on Image Processing(S1057-7149), 2010, 19(5): 1379-1384.
  • 9李伟,王伯雄,王雪,彭映成,秦垚.一种基于安瓿检测的快速图像配准方法的实现[J].电测与仪表,2010,47(7):5-8. 被引量:4
  • 10孙辉,马天玮.基于相位相关的目标图像亚像元运动参数估计[J].液晶与显示,2011,26(6):858-862. 被引量:7

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部