Journal of East China Normal University(Natural Science) ›› 2021, Vol. 2021 ›› Issue (6): 81-87.doi: 10.3969/j.issn.1000-5641.2021.06.009

• Computer Science • Previous Articles     Next Articles

Research on large-field microscopic images based on the best stitching path

Yang XU1, Hongying LIU1,2,*(), Quanjie ZHUANG2   

  1. 1. School of Communication and Electronic Engineering, East China Normal University, Shanghai  200241, China
    2. Shanghai Lanche Biological Technology Co., Ltd., Shanghai  200240, China
  • Received:2020-08-31 Online:2021-11-25 Published:2021-11-26
  • Contact: Hongying LIU


Image stitching technology is one of the key technologies in the application of large-field microscopic digital images. The existing traditional image stitching method is to stitch in a fixed order after image registration, and once there is an error, it will be accumulated along a fixed path, thereby causing problems such as misalignment of subsequent images. In this study, through experimental analysis, a method for optimizing the stitching path of the large-field image was proposed, which greatly optimized the problems caused by error accumulation and registration failure, and effectively improved the stitching quality of the large-field microscopic digital image. This method can be used not only for the stitching of large-field microscopic images, but also for other types of stitching.

Key words: large-field microscopic digital image, error accumulation, image registration, optimal stitching path

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