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

doi:10.1117/12.2626820

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

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.

Citation Download Citation

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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