Shallow Marine High-Resolution Optical Mosaics Based on Underwater Scooter-Borne Camera
Author:
Liu Yiyuan12, Wang Xinwei123, Sun Liang1, Chen Jianan1, He Jun1, Zhou Yan123
Affiliation:
1. Optoelectronic System Laboratory, Institute of Semiconductors, CAS, Beijing 100083, China 2. College of Materials Science and Opto-Electronics Technology, University of Chinese Academy of Sciences, Beijing 100049, China 3. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
Abstract
Optical cameras equipped with an underwater scooter can perform efficient shallow marine mapping. In this paper, an underwater image stitching method is proposed for detailed large scene awareness based on a scooter-borne camera, including preprocessing, image registration and post-processing. An underwater image enhancement algorithm based on the inherent underwater optical attenuation characteristics and dark channel prior algorithm is presented to improve underwater feature matching. Furthermore, an optimal seam algorithm is utilized to generate a shape-preserving seam-line in the superpixel-restricted area. The experimental results show the effectiveness of the proposed method for different underwater environments and the ability to generate natural underwater mosaics with few artifacts or visible seams.
Funder
National Science & Technology Fundamental Resources Investigation Program of China Youth Innovation Promotion Association of the Chinese Academy of Sciences National Natural Science Foundation of China Strategic Priority Program of the Chinese Academy of Sciences
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference32 articles.
1. Yokota, S., Kim, K., Imasato, M., Sawada, K., Tamura, K., Nakane, K., Koyama, H., Nagahashi, K., Obata, T., and Oyabu, Y. (2016, January 6–9). Development and sea trial of an autonomous underwater vehicle equipped with a sub-bottom profiler for surveying mineral resources. Proceedings of the 2016 IEEE/OES Autonomous Underwater Vehicles (AUV), Tokyo, Japan. 2. Visual feedback–based heading control of autonomous underwater vehicle for pipeline corrosion inspection;Khan;Int. J. Adv. Robot. Syst.,2017 3. Robotic tools for deep water archaeology: Surveying an ancient shipwreck with an autonomous underwater vehicle;Bingham;J. Field Robot.,2010 4. Bryson, M., Johnson-Roberson, M., Pizarro, O., and Williams, S. (2013, January 3–7). Automated registration for multi-year robotic surveys of marine benthic habitats. Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan. 5. Anderson, B., and Crowell, J. (2005, January 7–23). Workhorse auv—A cost-sensible new autonomous underwater vehicle for surveys/soundings, search & rescue, and research. Proceedings of the OCEANS 2005 MTS/IEEE, Washington, DC, USA.
|
|