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.

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