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27 March 2022 Underwater image stitching method based on optimal seam and multi-resolution fusion algorithms
Yiyuan Liu, Xinwei Wang, Liang Sun, Jianan Chen, Pingshun Lei, Jun He, Yan Zhou
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Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 12169BD (2022) https://doi.org/10.1117/12.2626820
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China
Abstract
Underwater high-resolution optical imaging is widely used in marine resource development, ecological monitoring, underwater archaeology, underwater search and rescue, and marine scientific research. However, small field of view (FOV) in optical imaging is ineffective for large scene mapping. Underwater image stitching aims to generate a highresolution panoramic image containing more information from a series of small-FOV and high-resolution images. This paper proposes an underwater optical image stitching method, including image alignment algorithm, optimal seam algorithm, Hue-Saturation-Value correction algorithm based on histogram matching, and multi-resolution fusion algorithm. The experimental results show that the proposed algorithms are effective for targets in different environments, and the panorama can be produced without artifacts or visible seams.
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Yiyuan Liu, Xinwei Wang, Liang Sun, Jianan Chen, Pingshun Lei, Jun He, and Yan Zhou "Underwater image stitching method based on optimal seam and multi-resolution fusion algorithms", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 12169BD (27 March 2022); https://doi.org/10.1117/12.2626820
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KEYWORDS
Image fusion
Panoramic photography
Ocean optics
Detection and tracking algorithms
Energy transfer
Optical imaging
Machine vision
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