An Image Inpainting Algorithm for 3D Core Images

doi:10.7652/xjtuxb201409007

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An Image Inpainting Algorithm for 3D Core Images

更新时间：2025-07-09

- An Image Inpainting Algorithm for 3D Core Images
- Vol. 48, Issue 9, Pages: 37-42+106(2014)
- 作者机构：
  
  四川大学电子信息学院,成都,610065
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201409007
  CLC： TP391
- Online First：10 September 2014，
  
  Published：2014
- 稿件说明：
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An Image Inpainting Algorithm for 3D Core Images[J]. 2014, 48(9): 37-42+106.
DOI：

An Image Inpainting Algorithm for 3D Core Images[J]. 2014, 48(9): 37-42+106. DOI： 10.7652/xjtuxb201409007.

摘要

针对存在较大范围信息缺失的岩心三维图像

提出了一种基于样例的三维图像修复算法

采用三维空间结构的模板对缺失部分的结构和细节同时进行填补

通过等照度面的传播优先合成三维图像的结构; 采用局部搜索与全局搜索相结合的匹配块搜索方式

缩小了匹配搜索范围

并保证了匹配的正确性。对多组岩样进行了实验

结果表明

该算法对于岩心的三维图像复原准确有效

保持了岩心三维图像空间结构的连续性、图像的细节特征以及孔隙微观结构的统计特性。

Abstract

A novel exemplar-based 3D image inpainting algorithm is proposed to restore 3D core images with a wide range of missing information. 3D template is used to fill structures and details of missing parts at the same time. The 3D image structures are synthesized through the propagation of isophote surface. The candidate patch searching method that combines local search and global search is used to reduce the search range and to ensure the validity of the image matching process. Experiments on multi-group core samples show that the proposed algorithm is effective in 3D core image restoration

and that the results maintain the continuity of spatial structures

the features of image details

and the statistic characteristics of porous microstructure.

关键词

Keywords

references

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