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基于零相位滤波的聚焦形貌恢复技术 被引量:7

Depth from Focus Based on Zero-phase Filter
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摘要 在聚焦形貌恢复技术中,为获取更好的恢复精度,提出了一种高精度的聚焦形貌恢复算法,该方法用零相位滤波器对窗口序列图像的评价函数值进行滤波,在消除干扰的同时,保持各空间数据点的位置不变。设计了基于切比雪夫Ⅱ滤波器的零相位滤波器;利用二次曲线的最小二乘拟合峰值位置作为窗口序列的聚焦位置,进一步提高了峰值定位精度;采用三次曲面对各个窗口序列的拟合峰值位置进行插值,进而得到被测物的全部深度信息。实验表明,本文方法的恢复平滑性和精度优于传统方法。 In order to achieve a better recovery precision,this paper introduces an algorithm for shape from focus based on zero-phase filer.The principles and design of this filter were explained.To filter the evaluation function of window sequence image by a zero-phase filter,it can keep the position of each dimensional data point unchanged while eliminating noise,so as to get a more accurate focusing position.The peak value position of the evaluation function is got by computing the extreme of the least square quadratic curve.At last using the cubic surface interpolation,all the depth of the measurement object is obtained.The experiment shows that the method of this paper is better than the traditional method at flatness.
出处 《光电工程》 CAS CSCD 北大核心 2011年第12期145-150,共6页 Opto-Electronic Engineering
基金 黑龙江省博士后基金
关键词 聚焦 形貌恢复 相位滤波 focus shape recovery phase filter
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参考文献12

  • 1Darrell T, Wohn K. Pyramidbased depth from focus [C]//Proc Computer Vision and Pattern Recognition, Ann Arbor, MI, USA, Jun5-9, 1988: 504-509.
  • 2Nayar S K. Shape from focus system for rough surface [C]//Proc Computer Vision and Pattern Recognition, Champaign, Illinois, USA, 1992: 539-606.
  • 3Nayar S K, Nakagawa Y. Shape from focus [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828), 1994, 16: 824-831.
  • 4Xiong Y, Sharer S A. Depth from focusing and defocusing [C]//Proe Computer Vision and Pattern Recognition, New York, NY, USA, June 15-17, 1993: 68-73.
  • 5Helmli F S, Scherer S. Adaptive shape from focus with an error estimation in light microscopy [C]// Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis, Pula, Croatia, June 21, 2001: 188-193.
  • 6Niederoest M, Niederoest J, Scucka J. Shape From Focus: Fully Automated 3D Reconstruction and Visualization of Microscopic Objects [C]// 6th International Conference on Optleal 3-D Measurement Techniques, Zurich, Switzerland. September 22-25, 2003: 236-243.
  • 7姜志国,韩冬兵,谢凤英,袁天云.基于全自动显微镜的图像新技术研究[J].中国体视学与图像分析,2004,9(1):31-36. 被引量:15
  • 8Nourbakhsh R, Dvid Andre, Carlo Tomasi, et al. Mobile robot obstacle avoidance via depth from focus [J]. Robotics and Autonomous Systems(S0921-8890), 1997, 22(6): 151-158.
  • 9Subbarao M, Choi T S. Accurate recovery of three-dimensional shape from image focus [J]. IEEE Trans. Pattern Anal. Machine Intelligence(S0162-8828), 1995, 17: 266-274.
  • 10纪跃波,秦树人,汤宝平.零相位数字滤波器[J].重庆大学学报(自然科学版),2000,23(6):4-7. 被引量:67

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共引文献83

同被引文献50

  • 1姜志国,史文华,韩冬兵,孙维忠,刘莉.基于聚焦合成的显微三维成像系统[J].CT理论与应用研究(中英文),2004,13(4):9-15. 被引量:18
  • 2朱洪涛,李大勇,王志勇,熊瑞文.轨检仪抑制轨缝干扰信息的数字滤波法[J].微计算机信息,2006(06S):182-183. 被引量:6
  • 3NAYAR S K, YASUO N. Shape from focus[ J]. IEEE Trans on Pat- tern Analysis and Machine Intelligence, 1994,6(8) : 824-831.
  • 4DARRELL T, WOHN K. Pyramid based depth from focus [ C ]//Proc of Computer Society Conference on Computer Vision and Pattern Re- co-gnition. 1988:504-509.
  • 5SUBBARAO M ,TAO C. Accurate recovery of three-dimensional shape from image focus [ J]. IEEE Trans on Pattern Analysis and Ma- chine Intelligence, 1995,17(3) : 266-274.
  • 6JOUNGIL Y, CHOI T S. Accurate 3D shape recovery using curved window focus measure [ C ]//Proc of International Conference on Image Processing. 1999: 910-914.
  • 7MUHAMMAD M S,CHOI T S. Sampling for shape from focus in opti- cal microscopy[ J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2012,34(3 ) : 564-573.
  • 8MINHAS R,MOHAMMED A A,WU Q M J. An efficient algorithm for focus measure computation in constant time[ J ]. IEEE Trans on Cir- cuits and Systems for Video Technology, 2012,22( 1 ) : 152-156.
  • 9HUMAYUN J, MALIK A. Real-time processing for shape-from-focus techniques [ J ]. Journal of Real-Time Image Processing, 2013 : 1-14.
  • 10MUHAMMAD M S, CHOI T S. 3D shape recovery by image focus u- sing Lorentzian-Cauchy function [ C ]//Proc of the 17th IEEE Interna- tional Conference on Image Processing. 2010: 4065-4068.

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