Paper
15 February 2022 Experimental study on image stitching of blade-shaped hole
Peng Zhou, Bo Sheng, Qinghuai Su, Chenghai Hu
Author Affiliations +
Proceedings Volume 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021); 1216605 (2022) https://doi.org/10.1117/12.2604882
Event: Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 2021, Hong Kong, Hong Kong
Abstract
Starting an experiment about image stitching of blade-shape hole. Firstly, Focusing on algorithms of feature point detection. Harris, SIFT, and SURF are the main feature point detection algorithms. All of them are used to detect feature points on the same image, and analyze the precision of it and time-consuming. Then compare algorithm of the points match (brute force and KNN, brute force and crosscheck, K-D tree and KNN) by SSIM and line profile. Image fusion is determined based on pixel weighting, and transformation matrix is gained by RANSAC. Last, the system uses the Harris algorithm to detect feature points, and uses brute force and the KNN algorithm to match them. Verify the algorithm of blade-shaped hole image stitching is effective, and lay foundation for the next work of this project.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Zhou, Bo Sheng, Qinghuai Su, and Chenghai Hu "Experimental study on image stitching of blade-shaped hole", Proc. SPIE 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 1216605 (15 February 2022); https://doi.org/10.1117/12.2604882
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KEYWORDS
Image fusion

Image analysis

Cameras

Digital filtering

Image filtering

Image processing

Machine vision

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