Vision Technology in Underwater: Applications, Challenges and Perspectives

Yiyang Li, K. Sun, Zekai Han
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Abstract

Vision technology is growing vigorously, but underwater vision remains challenges and problems, which is a field with application value and development prospects. The visual information obtained underwater is often color-biased and blurred, and it is highly susceptible to the influence of the surrounding environment and its stability cannot be controlled. Therefore, the current research and applications of vision technologies in underwater vision provide ways to solve the described problems, including image processing, target detection and recognition, localization and tracking technologies. The purpose of this review is to summarize the development of underwater vision technology and the results achieved. The mainstream underwater vision technologies are classified according to the different theories or algorithms used, and the current new research progress in each field is introduced in detail. By summarizing and analyzing the above research results, the application of each key technology of underwater vision is sorted out, and its further development direction is foreseen.
水下视觉技术:应用、挑战与展望
视觉技术正在蓬勃发展,但水下视觉仍然存在挑战和问题,是一个具有应用价值和发展前景的领域。在水下获得的视觉信息往往存在色彩偏差和模糊,极易受到周围环境的影响,其稳定性无法控制。因此,目前在水下视觉领域的视觉技术研究与应用为解决上述问题提供了途径,包括图像处理、目标检测与识别、定位与跟踪技术等。本文综述了水下视觉技术的发展和取得的成果。根据不同的理论或算法对主流的水下视觉技术进行了分类,并详细介绍了当前各个领域的最新研究进展。通过对上述研究成果的总结和分析,对水下视觉各关键技术的应用进行了梳理,并对其进一步发展方向进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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