Review of image calibration and distortion correction based on internal threads

This paper presents a comprehensive review of image calibration and distortion correction techniques based on internal threads, focusing on their principles, methods, applications, and challenges. Internal threads serve as unique calibration markers due to their invariability and high detectability, providing essential parameters for image distortion correction. The review highlights the effectiveness of these techniques in enhancing accuracy and reliability in various high-precision applications, such as industrial inspection and medical imaging. It also addresses the computational complexity, sensitivity to initial parameters, and the need for high-quality images. The paper aims to offer valuable insights and references for future research and development in image processing technologies, promoting their broader application and advancement.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1117/12.3045519
Primary Topic
Image Processing Techniques and Applications
Type
article
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Review of image calibration and distortion correction based on internal threads

Zhihao Jiang, Chengqi Xue, Chengjie Luo, Haotian Yuan et al.
Image Processing Techniques and Applications
article

Review of image calibration and distortion correction based on internal threads

Zhihao Jiang, Chengqi Xue, Chengjie Luo, Haotian Yuan, Zihan Xu, Xuanyi Zhao, Xiaohan Dou
article en

Abstract

This paper presents a comprehensive review of image calibration and distortion correction techniques based on internal threads, focusing on their principles, methods, applications, and challenges. Internal threads serve as unique calibration markers due to their invariability and high detectability, providing essential parameters for image distortion correction. The review highlights the effectiveness of these techniques in enhancing accuracy and reliability in various high-precision applications, such as industrial inspection and medical imaging. It also addresses the computational complexity, sensitivity to initial parameters, and the need for high-quality images. The paper aims to offer valuable insights and references for future research and development in image processing technologies, promoting their broader application and advancement.

Yangtze University (CN)
Openalex Percentile: Top 74%
Image Processing Techniques and Applications
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