一种改进能量函数的显微图像拼接算法

王江安; 梁温茜; 黄乐; 秦林珍

doi:10.11959/j.issn.1000-0801.2024212

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一种改进能量函数的显微图像拼接算法

研究与开发 | 更新时间：2024-11-25

- 一种改进能量函数的显微图像拼接算法
- A microscopic image stitching algorithm with improved energy function
- 电信科学 2024年40卷第9期页码：99-108
- 作者机构：
  
  长安大学信息工程学院，陕西西安 710064
- 作者简介：
  
  [ "王江安（1981- ），男，长安大学信息工程学院副教授、硕士生导师，主要研究方向为卫星导航算法、三维合成算法、深度学习和人工智能。" ]
  [ "梁温茜（1999- ），女，长安大学信息工程学院硕士生，主要研究方向为图像拼接、三维重建。" ]
  [ "黄乐（1999- ），男，长安大学信息工程学院硕士生，主要研究方向为基于深度学习的三维重建。" ]
  [ "秦林珍（1999- ），女，长安大学信息工程学院硕士生，主要研究方向为三维点云语义分割。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2024212
  中图分类号： TP391
- 收稿日期：2024-05-15，
  
  修回日期：2024-08-28，
  
  纸质出版日期：2024-09-20
- 稿件说明：
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王江安,梁温茜,黄乐等.一种改进能量函数的显微图像拼接算法[J].电信科学,2024,40(09):99-108.

WANG Jiang’an,LIANG Wenqian,HUANG Le,et al.A microscopic image stitching algorithm with improved energy function[J].Telecommunications Science,2024,40(09):99-108.
王江安,梁温茜,黄乐等.一种改进能量函数的显微图像拼接算法[J].电信科学,2024,40(09):99-108. DOI： 10.11959/j.issn.1000-0801.2024212.

WANG Jiang’an,LIANG Wenqian,HUANG Le,et al.A microscopic image stitching algorithm with improved energy function[J].Telecommunications Science,2024,40(09):99-108. DOI： 10.11959/j.issn.1000-0801.2024212.

摘要

针对传统最佳缝合线算法难以有效消除显微图像拼接后的拼接缝问题，提出一种基于最佳缝合线的图像融合优化算法。首先，利用ORB（oriented FAST and rotated BRIEF）算法对待拼接图像进行特征提取并定位重叠区域；其次，设计改进能量函数，结合动态规划技术，在重叠区域内有效搜索出最佳缝合线，基于这条缝合线，进一步采用改进融合方法有效融合两幅图像；最后，利用泊松融合方法消除重叠区域与非重叠区域之间存在的拼接缝，得到最终图像。实验结果显示，该方法将最佳缝合线两侧像素的相似度提高了5%左右，降低了能量损失，有效消除了拼接缝，提高了图像质量。

Abstract

Addressing the challenge of traditional optimal suture algorithms in effectively eradicating splicing seams after fusing microscopic images

an image fusion optimization algorithm based on the optimal suture was proposed. Firstly

ORB was used to extract features from the to-be-spliced images and locate the overlapping region. Secondly

an improved energy function was designed and combined with the dynamic planning technique to effectively search for the optimal suture line in the overlapping region. Based on this line

the improved fusion method was further used to fuse the two images. Finally

the Poisson fusion method was utilized to eliminate the splicing seams existing between the overlapped and non-overlapped regions to obtain the final image. The experimental results show that this method improves the similarity of the pixels on both sides of the optimal suture line by about 5%

reduces the energy loss

eliminates the splicing seam

and improves the image quality.

关键词

Keywords

references

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