Journal of East China Normal University(Natural Science) >

2021 , Vol. 2021 >Issue 6: 81 - 87

DOI: https://doi.org/10.3969/j.issn.1000-5641.2021.06.009

Computer Science

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

  • Yang XU ,
  • Hongying LIU ,
  • Quanjie ZHUANG
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  • 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 date: 2020-08-31

  Online published: 2021-11-26

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Abstract

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

Cite this article

Yang XU , Hongying LIU , Quanjie ZHUANG . Research on large-field microscopic images based on the best stitching path[J]. Journal of East China Normal University(Natural Science), 2021 , 2021(6) : 81 -87 . DOI: 10.3969/j.issn.1000-5641.2021.06.009

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