• Opto-Electronic Engineering
  • Vol. 46, Issue 2, 180301 (2019)
Liang Cheng1、*, Pu Fangyuan1, Liang Lei2, and Gao Zhisheng1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.12086/oee.2019.180301 Cite this Article
    Liang Cheng, Pu Fangyuan, Liang Lei, Gao Zhisheng. Pressure sensitive paint image registration combined with gray level information[J]. Opto-Electronic Engineering, 2019, 46(2): 180301 Copy Citation Text show less
    References

    [1] Friedl F, Krah N, J.hne B. Optical sensing of oxygen using a modified stern–volmer equation for high laser irradiance[J]. Sensors and Actuators B: Chemical, 2015, 206: 336–342.

    [2] Peng D, Chen J W, Jiao L R, et al. A fast-responding semi-transparent pressure-sensitive paint based on through-hole anodized Aluminum oxide membrane[J]. Sensors and Actuators A: Physical, 2018, 274: 10–18.

    [3] Kontis K. A review of some current research on pressure sen-sitive paint and thermographic phosphor techniques[J]. The Aeronautical Journal, 2007, 111(1122): 495–508.

    [4] Park S H, Sung H J. Correlation-based image registration for applications using pressure-sensitive paint[J]. AIAA Journal, 2005, 43(3): 472–478.

    [5] Fujimatsu N, Tamura Y, Fujii K. Improvement of noise filtering and image registration methods for the pressure sensitive paint experiments[J]. Journal of Visualization, 2005, 8(3): 225–233.

    [9] Lu X S, Zhang S, Yang W, et al. SIFT and shape information incorporated into fluid model for non-rigid registration of ultra-sound images[J]. Computer Methods and Programs in Biome-dicine, 2010, 100(2): 123–131.

    [10] Aganj I, Iglesias E I, Reuter M, et al. Mid-space-independent deformable image registration[J]. Neuroimage, 2017, 152: 158–170.

    [11] Besl P J, McKay N D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelli-gence, 1992, 14(2): 239–256.

    [12] Chi Y, Yu X Q, Luo Z Y. 3D point cloud matching based on principal component analysis and iterative closest point algo-rithm[C]//Proceedings of 2016 International Conference on Au-dio, Language and Image Processing, Shanghai, China, 2016: 404–408.

    [13] Amberg B, Romdhani S, Vetter T. Optimal step nonrigid ICP algorithms for surface registration[C]//Proceedings of 2007 IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, USA, 2007: 1–8.

    [14] Hontani H, Matsuno T, Sawada Y. Robust nonrigid ICP using Outlier-Sparsity regularization[C]//Proceedings of 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, 2012: 174–181.

    [15] Cheng S Y, Marras I, Zafeiriou S, et al. Statistical non-rigid ICP algorithm and its application to 3D face alignment[J]. Image and Vision Computing, 2017, 58: 3–12.

    [16] Chen J, Ma J Y, Yang C C, et al. Non-rigid point set registration via coherent spatial mapping[J]. Signal Processing, 2015, 106: 62–72.

    [17] Lu M, Zhao J, Guo Y L, et al. Accelerated coherent point drift for automatic Three-Dimensional point cloud registration[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(2): 162–166.

    [18] Rueckert D, Sonoda L I, Hayes C, et al. Nonrigid registration using free-form deformations: application to breast MR im-ages[J]. IEEE Transactions on Medical Imaging, 1999, 18(8): 712–721.

    [19] Woo J, Stone M, Prince J L. Multimodal registration via mutual information incorporating geometric and spatial context[J]. IEEE Transactions on Image Processing, 2015, 24(2): 757–769.

    [20] Qiu Z Y, Tang H H, Tian D S. Non-rigid medical image registra-tion based on the thin-plate spline algorithm[C]//Proceedings of 2009 WRI World Congress on Computer Science and Informa-tion Engineering, Los Angeles, CA, USA, 2009: 522–527.

    [21] Chan T F, Sandberg B Y, Vese L A. Active contours without edges for vector-valued images[J]. Journal of Visual Commu-nication and Image Representation, 2000, 11(2): 130–141.

    [22] Xu L, Wan J W L, Bian T T. A continuous method for reducing interpolation artifacts in mutual Information-Based rigid image registration[J]. IEEE Transactions on Image Processing, 2013, 22(8): 2995–3007.

    [23] Collignon A. Automated multimodality image registration using information theory[C]//Proceedings of International Conference Information Processing in Medical Imaging, Ile De Berder, France, 1995: 263–274.

    [24] Viola P, Wells III W M. Alignment by maximization of mutual information[J]. International Journal of Computer Vision, 1997, 24(2): 137–154.

    [25] Studholme C, Hill D L G, Hawkes D J. An overlap invariant entropy measure of 3D medical image alignment[J]. Pattern Recognition, 1999, 32(1): 71–86.

    [26] Friedman J H, Bentley J L, Finkel R A. An algorithm for finding best matches in logarithmic expected time[J]. ACM Transac-tions on Mathematical Software, 1977, 3(3): 209–226.

    Liang Cheng, Pu Fangyuan, Liang Lei, Gao Zhisheng. Pressure sensitive paint image registration combined with gray level information[J]. Opto-Electronic Engineering, 2019, 46(2): 180301
    Download Citation