Submarine multi-metal tuberculosis image real-time processing system

Abstract

The invention discloses a submarine multi-metal nodule image real-time processing system, relates to the field of underwater camera technology and video real-time processing, and is used for solving the problem that the traditional manual reading of the ship waterline depth is inaccurate. The system comprises a deep sea towed body and a shipborne workstation; the deep sea towed body comprises a power supply module, a deep sea high-definition camera module and a first optical transceiver; the power supply module provides working voltage for the deep sea high definition camera module and the first optical transceiver. The first optical transceiver transmits signals output by the deep sea high-definition camera module to the shipborne workstation through an optical fiber; the shipborne workstation comprises a GPS module, a second optical transceiver and a graphic processing workstation; the GPS module is used for acquiring the position and the local time of the ship; the second optical transceiver is used for receiving a signal from the deep sea towed body; and the graphic processing workstation is used for processing the submarine image and performing calculating to obtain submarinemulti-metal tuberculosis coverage rate information. The method has the advantages that the operation is simple and convenient, the interface is visual and concise, the real-time performance is good, and the accuracy is high.

Description

technical field [0001] The invention relates to the field of underwater camera technology and real-time video processing, in particular to a real-time image processing system for seabed polymetallic nodules. Background technique [0002] In deep sea exploration, seabed nodule detection based on video and images is an important means to understand and evaluate nodule mineral resources. With the continuous innovation and development of deep-sea equipment such as deep-sea submersibles and deep-sea color digital cameras, researchers can observe polymetallic nodules on the ocean floor in real time and intuitively through video images, and make statistics on the distribution of nodules and calculate their Covering area, coverage rate, and estimating the reserves of its metals provide important support for subsequent mining decisions. [0003] The near-bottom high-definition video captured by the traditional deep-sea camera system is usually manually interpreted by the researchers...

AI Technical Summary

Problems solved by technology

[0004] However, the traditional method will consume a lot of manpower and time. After the image is captured, it takes a long time for manual processing to obtain an approximate result.

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