Research on Real - time Processing System of Deep Sea Biological Image for Manned Submersible Vehicle

摘要

In this paper, a real-time processing system for deep-sea biological image of manned submersible vehicle is proposed for the delay and passive problem of underwater camera information mining of manned submersible. The system can combine the image processing technology and information fusion technology to quantitatively analyze the biological images collected by manned submersible vehicle underwater quickly and accurately, so as to obtain the topological features and species distribution of deep sea creatures and the more accurate information of deep sea environment. Experimental results show that the system can accurately analyze underwater biological images in real time and intelligence and obtain the morphology information and deep sea environment information, which is of great significance to deep sea biological research in China.