Abnormity detection method for marine culture net cage netting

A technology of anomaly detection and network clothing, which is applied in image data processing, instruments, character and pattern recognition, etc., can solve the problems of immature technology and weak engineering application ability, and achieve the effect of promoting application and improving reliability

Active Publication Date: 2019-08-02
DALIAN UNIV OF TECH
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Problems solved by technology

[0003] In summary, during the development of fish farming in the past ten years, although experts and scholars have paid attention to the abnormal detection of net ca

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  • Abnormity detection method for marine culture net cage netting

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[0026] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings and technical solutions.

[0027] A method for abnormal detection of nets in marine aquaculture cages is mainly used for detecting two states of biological attachment and damage to nets 1 , wherein the main equipment includes an ROV underwater robot 2 equipped with a camera 3 and a computer 4 .

[0028] Specific steps are as follows:

[0029] Step A: Under the control of the computer 4, the ROV underwater robot 2 collects the video of the cage net 1 according to the set route;

[0030] Step B: Perform image analysis in computer 4. At this time, the current image frame I is extracted from the camera 3 of the ROV2 t and the image frame I at the previous moment t-1 , and use a feature matching algorithm such as SIFT for I t and I t-1 Search for points with the same name, when there are matching points and the distance between the matching point...

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Abstract

The invention belongs to the technical field of deep sea net cage culture observation, and relates to an abnormity detection method for a marine culture net cage netting, which is used for detecting two states of biological adhesion and damage of the netting, and equipment comprises an underwater robot ROV provided with a camera and a computer. When the marine culture net cage netting is detectedabnormally, the problems of high risk and low efficiency of underwater detection operation are fully considered, an ROV is used as a carrier, and a visual image measurement technology is combined to carry out abnormal alarm on common biological adhesion and netting damage phenomena in marine culture. According to the invention, the ROV is utilized to take a netting image; the image recognition technology of the key frame is tightly combined with the characteristic curve analysis method; the underwater netting abnormity detection system suitable for offshore net cage inspection is flexibly constructed, the reliability of ROV inspection is greatly improved, the risk of marine culture observation, especially deep sea culture observation, is reduced, and the application and popularization of the ROV and image measurement technology in marine culture net cage inspection are greatly promoted.

Description

technical field [0001] The invention belongs to the technical field of cage culture observation in the deep sea, relates to the problem of abnormal detection of net clothing in cages, and particularly relates to an image recognition method for abnormal detection of net clothing. Background technique [0002] The overall health of the cage is of great significance in the breeding process. However, compared with the research on the collection technology of water environment information, the research results of the monitoring and detection technology of the cage are relatively few. First of all, in terms of biofouling detection, at present, the method of regularly changing nets based on breeding experience is widely used to deal with biofouling or regularly washing nets to maintain the normal operation of cage culture, but there is a lack of automatic detection of biofouling and pollution degree assessment process. Secondly, in the detection of net clothing damage [1], experts ...

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Application Information

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IPC IPC(8): G06T7/00G06K9/00
CPCG06T7/0002G06V20/40
Inventor 杜海赵云鹏孟娟
Owner DALIAN UNIV OF TECH
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