• Laser & Optoelectronics Progress
  • Vol. 54, Issue 12, 121103 (2017)
Chen Bo1、*, Sun Tianqi1, and Liu Aixin2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/lop54.121103 Cite this Article Set citation alerts
    Chen Bo, Sun Tianqi, Liu Aixin. Influence of Speckle Noise on Image Registration Based on Feature Point Matching[J]. Laser & Optoelectronics Progress, 2017, 54(12): 121103 Copy Citation Text show less
    References

    [1] Kou Yunli, Li Enpu, Di Jianglei, et al. Surface morphology measurement of tiny object based on dual-wavelength digital holography[J]. Chinese J Lasers, 2014, 41(2): 0209010.

    [2] Liu Yafei, Zhang Wenbin, Xu Tianxu, et al. Study on in-line incoherent digital holographic microscopy in reflection configuration[J]. Chinese J Lasers, 2016, 43(11): 1109002.

    [3] Massig J H. Digital off-axis holography with a synthetic aperture[J]. Optics Letters, 2002, 27(24): 2179-2181.

    [4] Gunturk B K, Miller N J, Watson E A. Camera phasing in multi-aperture coherent imaging[J]. Optics Express, 2012, 20(11): 11796-11805.

    [5] Yang Xu, Chen Bo, Li Xiaoyang, et al. Design and experimental analysis of the long distance digital off-axis holography[J]. Laser Journal, 2016, 37(10): 74-77.

    [6] Luo J, Gwun O. A comparison of SIFT, PCA-SIFT and SURF[J]. International Journal of Image Processing, 2009, 3(4): 143-152.

    [7] Yang Sa, Xia Minghua, Zheng Zhishuo. Medical image registration algorithm based on polynomial deterministic matrix and SIFT transform[J]. Laser & Optoelectronics Progress, 2016, 53(8): 081002.

    [8] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.

    [9] Bay H, Ess A, Tuytelaars T, et al. Speeded-up robust features (SURF)[J]. Computer Vision & Image Understanding, 2008, 110(3): 346-359.

    [10] Zhao Lulu, Geng Guohua, Li Kang, et al. Images matching algorithm based on SURF and fast approximate nearest neighbor search[J]. Application Research of Computers, 2013, 30(3): 921-923.

    [11] Fischler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM, 1980, 24(6): 726-740.

    [12] Torr P H S, Zisserman A. MLESAC: a new robust estimator with application to estimating image geometry[J]. Computer Vision & Image Understanding, 2000, 78(1): 138-156.

    [13] Goodman J W. Speckle phenomena in optics: theory and applications[M]. Greenwood Village: Roberts & Company Publisher, 2007.

    [14] Chen Bo,Yang Jing,Yang Xu, et al. Effect of speckle noise on wavefront distortion correction in laser activeimaging[J]. Chinese J Lasers, 2015, 42(10): 1012002.

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    Chen Bo, Sun Tianqi, Liu Aixin. Influence of Speckle Noise on Image Registration Based on Feature Point Matching[J]. Laser & Optoelectronics Progress, 2017, 54(12): 121103
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