收稿日期: 2020-08-31
网络出版日期: 2021-11-26
基金资助
上海市闵行区科委2018年度产学研合作计划（2018MH306）
Research on large-field microscopic images based on the best stitching path
Received date: 2020-08-31
Online published: 2021-11-26
图像拼接技术是大视野显微数字图像应用中的关键技术之一. 随着科学技术的发展, 人们更加关心大视野显微数字图像的快速而又准确的图像拼接问题. 而现有的传统图像拼接方法是在图像配准之后按照固定的顺序拼接, 这对显微数字图像的采集质量以及配准的准确度要求很高, 一旦有误差便会沿着固定的路径累加, 从而使后续的图像产生错位等问题. 通过实验分析, 提出了一种优化大视野图像拼接路径的方法, 极大地优化了误差累积和配准失败带来的问题, 有效地提高了大视野显微数字图像的拼接质量. 该方法不仅可用于大视野显微图像的拼接, 也适用于其他类型的图像拼接.
许阳 , 刘洪英 , 庄泉洁 . 基于最佳拼接路径的大视野显微图像研究[J]. 华东师范大学学报（自然科学版）, 2021 , 2021(6) : 81 -87 . DOI: 10.3969/j.issn.1000-5641.2021.06.009
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.
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中国综合性科技类核心期刊(北大核心)