A Method for Improving Both Digital Volume Correlation Technique and Its Computation Efficiency

Deng Chao-bing; Zhang Cheng-xiao; Bai Yu-lei; Zhou Yan-zhou

doi:10.3969/j.issn.10077162.2015.01.017

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

A Method for Improving Both Digital Volume Correlation Technique and Its Computation Efficiency

更新时间：2026-05-27

- A Method for Improving Both Digital Volume Correlation Technique and Its Computation Efficiency
- Vol. 32, Issue 1, Pages: 80-84(2015)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.10077162.2015.01.017
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
邓超兵, 张程潇, 白玉磊, 周延周. 提高数字体图像相关算法精度和计算效率的方法[J]. 广东工业大学学报, 2015, 32(1): 80-84.

Deng Chao-bing, Zhang Cheng-xiao, Bai Yu-lei, et al. A Method for Improving Both Digital Volume Correlation Technique and Its Computation Efficiency[J]. 2015, 32(1): 80-84.
邓超兵, 张程潇, 白玉磊, 周延周. 提高数字体图像相关算法精度和计算效率的方法[J]. 广东工业大学学报, 2015, 32(1): 80-84. DOI： 10.3969/j.issn.10077162.2015.01.017.

Deng Chao-bing, Zhang Cheng-xiao, Bai Yu-lei, et al. A Method for Improving Both Digital Volume Correlation Technique and Its Computation Efficiency[J]. 2015, 32(1): 80-84. DOI： 10.3969/j.issn.10077162.2015.01.017.

摘要

在处理大量数据的情况下，通过利用图像一阶灰度梯度来计算三维位移场分布，采用亚体素位置三元三次灰度插值法来提高位移计算精度和效率.仿真实验验证了该方法的正确性.

Abstract

Through the use of the image of a gray scale gradient to calculate the threedimensional displacement field distribution

the research improves the accuracy and efficiency of the displacement using ternary cubic interpolation gray of sub-voxel location. Based on the results of simulation analysis

this paper has verified the correctness of the method.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Bimodal Iterative Cross-attention Fusion Ensemble Framework

Research and Implementation of a Pulsed Laser Ranging Method Based on Digital Mixing

SCA-YOLO: Real-time Target Detection Based on Deformable Convolution and Context-aware Attention

An Optimal Operation Strategy for Community Microgrid Alliances Considering Power Exchange under Multi-package Shared Energy Storage Model

The Cross-twin Physics-informed Neural Network for Wave Equations with Conserved Quantities

Related Author

No data

Related Institution

No data

AI问答

⁰