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J4  2011, Vol. 45 Issue (10): 1720-1725    DOI: 10.3785/j.issn.1008-973X.2011.10.004
自动化技术、信息技术     
喷墨印花纹理图像的单元分解光流场配准算法
冯志林1, 尹建伟2
1. 浙江工业大学之江学院 信息工程学系,浙江 杭州 310024;2. 浙江大学 计算机科学与技术学院,浙江 杭州 310027
Image registration algorithm for ink-jet printing texture
image based on unit partitioning of optical flow field
FENG Zhi-lin1, YIN Jian-wei2
1. Department of Information and Engineering, College of Zhijiang, Zhejiang University of Technology, Hangzhou
310024,China; 2. College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
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摘要:

为了解决喷墨印花纹理图像在噪声环境下配准精确度低,以及局部区域存在大的配准偏差的问题,提出一种新的基于单元分解光流场的图像配准算法.利用单元分解技术对光流场图像配准问题进行建模,采用阶谱分层策略和基函数自适应调整,对单元分解过程中生成的局部和全局网格实施灵活度控制.通过引入一个新的能够对纹理结构的光滑效果实施约束的特征能量项,可以使网格单元取得令人满意的纹理表征效果,并且能够提高光流场模型在定位精细纹理边缘时的配准精度.对含噪喷墨印花纹理图像的配准实验结果表明了本文算法的可行性.

Abstract:

A novel image registration algorithm based on the unit partitioning of optical flow field was proposed in order to solve the problems of the low accuracy in digital registration of ink-jet printing images under noisy environment and the large registration deviation for local areas. The technology of unit partitioning was applied to modeling the problem of optical field image registration. Hierarchical strategy and adaptive adjustment of basic function were proposed to implement the flexibility control on the local and global meshes generated by the processing of unit partitioning. A novel feature energy term restricting the effective of smoothing on texture structure was introduced in order to obtain satisfied efficiency of texture characteristic for mesh elements and improve the registration accuracy of optical flow model for positioning fine texture edges. Experiments on noisy ink-jet printing texture images were presented to illustrate the feasibility of the algorithm.

出版日期: 2011-10-01
:  TP 391  
基金资助:

国家重大科技专项资助项目(2009ZX01043-003-003,2011ZX01039-001-002);国家自然科学基金资助项目(60703042,61070113);浙江省科技厅公益性计划资助项目(2010C31027).

通讯作者: 尹建伟,男,教授.     E-mail: zjuyjw@zju.edu.cn
作者简介: 冯志林(1977—),男,副教授,从事图像处理研究.E-mail: zjhzjacky@126.com
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引用本文:

冯志林, 尹建伟. 喷墨印花纹理图像的单元分解光流场配准算法[J]. J4, 2011, 45(10): 1720-1725.

FENG Zhi-lin, YIN Jian-wei. Image registration algorithm for ink-jet printing texture
image based on unit partitioning of optical flow field. J4, 2011, 45(10): 1720-1725.

链接本文:

https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2011.10.004        https://www.zjujournals.com/eng/CN/Y2011/V45/I10/1720

[1] GHOLIPOUR A, KEHTARNAVAZ N, YOUSEFI S, et al. Symmetric deformable image registration via optimization of information theoretic measures [J]. Image and Vision Computing, 2010, 28(6): 965-975.

[2] LIU J G, YAN H. Phase correlation pixeltopixel image coregistration based on optical flow and median shift propagation [J]. International Journal of Remote Sensing, 2008, 29(20): 5943-5956.
[3] REUTER M. Hierarchical shape segmentation and registration via topological features of laplacebeltrami eigenfunctions [J]. International Journal of Computer Vision, 2010, 89(2/3): 287-308.
[4] 熊静旖,罗予频,唐光荣.一种应用于图像配准中大尺度位移估计的改进光流法[J].自动化学报,2008, 34(7): 760-764.
XIONG Jingyi, LUO Yupin, TANG Guangrong. An improved optical flow method for image registration with largescale movements [J]. Acta Automatica Sinica, 2008, 34(7): 760-764.
[5] RADGUI A, DEMONCEAUX C, RZIZA M, et al. An adapted LucasKanade’s method for optical flow estimation in catadioptric images [C]∥ Proceedings of the 8th Workshop on Omnidirectional Vision and Camera Networks. Marseille: IEEE, 2008: 287-299.
[6] JODOIN P M, MIGNOTTE M. Opticalflow based on an edgeavoidance procedure [J]. Computer Vision and Image Understanding, 2009, 113(4): 511-531.
[7] NAGAI Y, OHTAKE Y, SUZUKI H. Smoothing of partition of unity implicit surfaces for noise robust surface reconstruction [C]∥ Proceedings of the Symposium of the Geometry Processing. Berlin: ACM, 2009: 1339-1348.
[8] HAE S O, WOO J J, TAK H W. The generalized product partition of unity for the meshless methods [J]. Journal of Computational Physics, 2010, 229(5): 1600-1620.
[9] ALEXANDER D I, ALEXANDER J Z. Variational principles and wellposedness in optimization and calculus of variations [J]. SIAM Journal on Control and Optimization, 2000, 38(2): 566-581.
[10] INGYU L, RAGHAVAN P, ESMOND N G. Effective preconditioning through ordering interleaved with incomplete factorization [J]. SIAM Journal on Matrix Analysis and Applications, 2006, 27(4): 1069-1088.
[11] KERN J P, PATTICHIS M S. Robust multispectral image registration using mutualinformation models [J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(5): 1494-1505.
[12] YANG Y, GAO X. Remote sensing image registration via active contour model [J]. International Journal of Electronics and Communications, 2009, 63(4): 227-234.

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