Image mosaic based on improved SPHP mesh optimization method

Li Sai; Guolin Zhai; Hongchen Ma

doi:10.1117/12.2604617

5 October 2021 Image mosaic based on improved SPHP mesh optimization method

Li Sai, Guolin Zhai, Hongchen Ma

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 119110I (2021) https://doi.org/10.1117/12.2604617
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

In order to solve the problems of ghosting, deformation and skew matching in large parallax image mosaic, an improved SPHP method is proposed. The steps are as follows: 1. In the feature extraction stage, feature points are extracted by ASIFT algorithm; 2. In the feature matching stage, feature points are roughly matched by KNN algorithm, and feature points are purified by RANSAC algorithm; 3. In the image alignment stage, the spatial transformation model and similar transformation model are calculated by SPHP algorithm to correct the shape and effect of stitching; 4. In the image fusion stage, the linear weighted fusion algorithm is used to fuse the overlapping area. Compare with the traditional autostitch algorithm and SPHP algorithm, the experimental results show that the quality of the improves SPHP algorithm is significantly improved, and the normalized mutual information is improved by 1.4% compared with the SPHP algorithm.

Citation Download Citation

Li Sai, Guolin Zhai, and Hongchen Ma "Image mosaic based on improved SPHP mesh optimization method", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 119110I (5 October 2021); https://doi.org/10.1117/12.2604617

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KEYWORDS

Feature extraction

Image fusion

Image registration

Optimization (mathematics)

Image processing

Image quality

Optical alignment

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