Overview of Underwater Object Detection Based on Image Processing Techniques

Abstract

underwater object detection and recognition are critical technologies in marine science and engineering, enabling advancements in environmental monitoring, resource exploration, and autonomous underwater vehicles. The rapid progression of computing power, underwater robotics, and artificial intelligence has driven substantial academic and industrial interest in this domain. This paper presents a comprehensive overview of the current methodologies in image-based underwater object recognition, where optical images or videos captured under various lighting conditions are processed to detect and identify underwater objects. The discussion includes an analysis of the prevailing algorithms, a review of the contemporary research landscape, and an exploration of emerging trends. Additionally, this paper offers insights into the anticipated technological advancements that will shape the future of underwater object recognition.