• Infrared and Laser Engineering
  • Vol. 48, Issue 11, 1126002 (2019)
Kong Ming1, Hao Ling1, Liu Wei1, Wang Daodang1、2, Xu Xinke1, and Li Qin3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3788/irla201948.1126002 Cite this Article
    Kong Ming, Hao Ling, Liu Wei, Wang Daodang, Xu Xinke, Li Qin. Phase splicing algorithm based on optimized Harris corner in digital holography[J]. Infrared and Laser Engineering, 2019, 48(11): 1126002 Copy Citation Text show less

    Abstract

    Aiming at the problem of limited measurement area in digital holography, a splicing algorithm based on optimized Harris corner algorithm was proposed to realize phase bidirectional splicing. In the process of acquiring digital holographic images, it was ensured that adjacent regions had a certain overlapping portion, and the phase images of the sub-apertures of the obtained objects were spliced; the Harris corner algorithm was used in the splicing to select the corner-dense regions as matching templates, which was efficient and accurate to determine the overlapping region, combined the Gaussian scale space and the pyramid matching idea to optimize the algorithm, and the phase splicing of the 3-D surface reconstruction was realized by weighted fusion. Taking the glass template as the experimental object, the bidirectional splicing of the phase of the object reproduction was completed. The experimental results show that the splicing method could effectively enlarge the measurement area of digital holographic objects and ensured high splicing accuracy.
    Kong Ming, Hao Ling, Liu Wei, Wang Daodang, Xu Xinke, Li Qin. Phase splicing algorithm based on optimized Harris corner in digital holography[J]. Infrared and Laser Engineering, 2019, 48(11): 1126002
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