Underwater netting system damage detection method based on machine vision

Abstract

The invention belongs to the technical field of ocean engineering and information technology fusion, and provides an underwater netting system damage detection method based on machine vision, which comprises mesh information identification and mesh anomaly detection. According to the net cage underwater netting damage detection method based on machine vision, the original video image of the netting is acquired through the ROV underwater robot, underwater noise is removed based on a traditional image processing technology, and then the netting image is simplified into a binary image. The area of each mesh is obtained through connected domain segmentation, a netting characteristic gradient curve is formed, a netting damage judgment formula is determined, the netting damage condition is judged according to a self-adaptive netting abnormal threshold value, the netting damage position in the original image is accurately returned, and the netting damage area is automatically framed. According to the method, automatic detection and analysis are carried out in the whole netting damage detection process, labor consumption in netting damage detection can be effectively reduced while nettingdetection efficiency is improved, and personal safety of workers is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of integration of marine engineering and information technology, and relates to a method for detecting the damaged state of net clothing, in particular to a method with the function of non-contact and accurate detection of the degree of damage and its position. Background technique [0002] Fishery is an important part of my country's agriculture and national economy. In order to achieve the sustainable development of fishery and maintain the balance of marine ecology, marine fishing operations have gradually developed from traditional rough fishing to intermittent fishing and intensive marine cage culture. status quo. With the continuous increase of the demand gap for seafood and the increasingly harsh offshore aquaculture environment, deep-sea cage culture has become the main development direction of marine fish farming in my country. As a high-tech farming method, deep-sea cage culture is a high-input, Hig...

AI Technical Summary

Problems solved by technology

The most critical component is the underwater netting system. Once damaged, if it is not discovered in time, it will cause a large number of fish to escape, causing serious economic losses and ecological pollution.

However, the damage detection of cage net clothing has been lagging behind in technology

At present, in the breeding process, for the inspection of net clothes, regular net changes or professional divers are often employed to conduct underwater mesh inspections. The process is relatively cumbersome, and there are not only operational efficiency problems, but also the safety of the staff cannot be guaranteed.

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