基于最佳拼接路径的大视野显微图像研究

许阳 刘洪英 庄泉洁

摘要：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.

关键词：大视野显微数字图像;误差累积;图像配准;最佳拼接路径

中图分类号：TP751文献标志码：ADOI：10.3969/j.issn.l000-5641.2021.06.009

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

XU Yang1，LIU Hongying1，2，ZHUANG Quanjie2

（1. School of Communication and Electronic Engineering. East China Normal University. Shanghai 200241 China;2. Shanghai Lanche Biological Technology Co.，Ltd.，Shanghai 200240，China）

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.

Keywords：large-field microscopic digital image;error accumulation;image registration;optimal stitching path

0引言

在計算机视觉、图像处理和计算机图形学等研究领域，图像拼接是一项研究重点，它被广泛应用于虚拟现实、医学图像处理、遥感技术和军事领域[1]。图像拼接的作用是将一系列存在关联的图像拼接成一个大视野的高分辨率图像，为图像后续的研究和识别打下坚实的基础.在医学图像处理方面，显微镜的视野较小，医师无法通过1幅图像进行诊断，所以拼接相邻的各幅图像是实现远程会诊的关键环节[2].

现有的图像拼接将研究重点放在了2张图片间的配准，忽略了大视野图像的整体拼接：在面临整体拼接时……