计算机与数字工程2024,Vol.52Issue(7) :2155-2160.DOI:10.3969/j.issn.1672-9722.2024.07.043

一种改进最优拼接线的图像拼接算法

An Image Mosaic Algorithm Based on Improved Optimal Stitching

万志港 邬春学
计算机与数字工程2024,Vol.52Issue(7) :2155-2160.DOI:10.3969/j.issn.1672-9722.2024.07.043
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一种改进最优拼接线的图像拼接算法

An Image Mosaic Algorithm Based on Improved Optimal Stitching

万志港 1邬春学1
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作者信息

  • 1. 上海理工大学光电信息与计算机工程学院 上海 200093
  • 折叠

摘要

图像拼接过程中存在着视角、颜色、纹理信息等差异,这些差异严重影响了图像拼接质量.针对此问题,论文提出了一种改进最优拼接线的图像拼接算法.在图像配准方面,基于超像素分割算法对局部单应性模型进行改进,提高了图像配准的精度,削弱了视差对图像拼接过程的影响;在接缝切割方面,基于原有平滑项中考虑了色差与梯度差信息,在平滑项中添加了显著性感知权重与纹理性信息.实验证明,该算法提高了图像配准的精度,保护了视觉显著物体结构,避免了错位、重影现象的发生,能够拼接生成高清自然的宽视域图像.

Abstract

In the process of image mosaic,there are differences in perspective,color and texture information,which seriously affect the quality of image mosaic.To solve this problem,this paper proposes an image stitching algorithm based on improved opti-mal stitching.In the aspect of image registration,the local homography model is improved based on the super-pixel segmentation al-gorithm,which improves the accuracy of image registration and weakens the influence of parallax on the image mosaic process.In the aspect of seam cutting,based on the consideration of color difference and gradient difference information in the original smooth-ing item,significant perceptual weight and texture information are added to the smoothing item.Experiments show that the algorithm improves the accuracy of image registration,protects the structure of visually significant objects,avoids the occurrence of disloca-tion and ghosting,and can splice high-definition natural wide field of view images.

关键词

图像配准/超像素分割/接缝切割/显著性感知/纹理信息

Key words

image registration/super pixel segmentation/joint cutting/significant perception/texture information

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基金项目

国家重点研发计划(2018YFC0810204)

国家重点研发计划(2018YFB1702601)

上海科技创新行动计划项目(16111107502)

出版年

2024
计算机与数字工程
中国船舶重工集团公司第七0九研究所

计算机与数字工程

CSTPCD
影响因子:0.355
ISSN:1672-9722
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