Research and Application of Image Stitching Technology Based on SURF Feature Points

Qihang Zheng, Dong Huang

2025

Abstract

The role of image stitching technology in the field of image research is very important, but there is a problem of inaccurate image fusion. The classic SIFT detection algorithm cannot solve the image stitching problem in the field of image research, and the evaluation is unreasonable. Therefore, a SURF feature extraction algorithm is proposed for fast image stitching analysis. Firstly, the image theory is used to evaluate the pattern, and the indicators are divided according to the image stitching requirements to reduce it Distractors in image stitching. Then, image theory optimizes the image stitching technology to form an image stitching scheme and performs the image stitching results Comprehensive analysis. MATLAB simulation shows that under certain evaluation criteria, the acquisition, registration and fusion speed of image stitching by SURF feature extraction algorithm are improved All are better than the SIFT detection algorithm.

Paper Citation

in Harvard Style

Zheng Q. and Huang D. (2025). Research and Application of Image Stitching Technology Based on SURF Feature Points. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 150-156. DOI: 10.5220/0013537200004664

in Bibtex Style

@conference{incoft25,
author={Qihang Zheng and Dong Huang},
title={Research and Application of Image Stitching Technology Based on SURF Feature Points},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={150-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013537200004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Research and Application of Image Stitching Technology Based on SURF Feature Points
SN - 978-989-758-763-4
AU - Zheng Q.
AU - Huang D.
PY - 2025
SP - 150
EP - 156
DO - 10.5220/0013537200004664
PB - SciTePress