Multi-scale underwater fish school detection method based on attention module

A detection method and multi-scale technology, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve the problems of low underwater imaging quality and difficulty in fish detection and detection, and improve the recognition accuracy and efficiency. The effect of recall rate, promoting sustainable and healthy development, and protecting marine resources

Pending Publication Date: 2022-03-11
CHINA AGRI UNIV
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  • Application Information

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Problems solved by technology

[0011] To sum up, at present, there are still defects in avoiding overfishing and protecting marine biological resource

Method used

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  • Multi-scale underwater fish school detection method based on attention module
  • Multi-scale underwater fish school detection method based on attention module
  • Multi-scale underwater fish school detection method based on attention module

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Embodiment Construction

[0078] The present invention provides a multi-scale underwater fish school detection method based on the attention module, and the present invention will be further described below in conjunction with the accompanying drawings.

[0079] Figure 4 Shown is the roadmap for underwater fish detection methods. The multi-scale underwater fish detection method based on the attention module shown in the figure, the specific steps are as follows:

[0080] Step (1) Obtain the underwater fish school image, select the fish school image based on the Labeled fishes in the wild data set, and eliminate the images that cannot be detected without fish and the images that are too large and the background is simple and easy to detect. After data cleaning, a total of 1,000 fish school images were obtained;

[0081] Step (2) data enhancement, the underwater fish image has insufficient light and the background is relatively dark, use the multi-scale retinal enhancement MSRCR algorithm with color r...

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Abstract

The invention discloses a multi-scale underwater fish school detection method based on an attention module, and belongs to the technical field of marine fish resource detection. Firstly, underwater fish school images are obtained, fish school images are selected from the underwater fish school images, enhancement preprocessing is conducted on the underwater images according to the characteristics that the underwater environment is dark, the background is complex and the fish school images are small and dense, based on an optimized YOLO V4 detection framework, an ECA attention mechanism is added to enable a network to focus on fish body feature learning, background interference is overcome, and the fish school images are obtained. PANet connection is improved, multi-scale information is added, feature extraction is enhanced, and the detection precision is improved. According to the method, automatic detection of underwater fish schools is realized; scientific theory and technical support are provided for automatic fish detection, scientific fishing is specified, ocean resources can be better protected, and sustainable and healthy development of an ocean system is promoted; and a reference scheme can be provided for detection of other marine organisms.

Description

technical field [0001] The invention belongs to the technical field of detection of marine fish resources, and in particular relates to a multi-scale underwater fish detection method based on an attention module. Background technique [0002] The ocean accounts for about 71% of the total area of ​​the earth, and there are abundant marine biological resources such as fish and minerals, which can bring huge economic benefits to human production and life. Among them, fish resources are important marine resources, and the detection and identification of fish is of great significance for exploring the law of marine fish activities, monitoring the water environment, and conducting research on fishery resources. However, with the improvement of the level of science and technology and the continuous expansion of market demand, the intensity of fishing has increased rapidly and the scope of fishing seas has expanded significantly. In recent years, predatory fishing has appeared. mar...

Claims

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Application Information

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IPC IPC(8): G06V20/05G06V10/20G06V10/44G06V10/82G06V10/80G06V10/774G06V10/776G06K9/62G06N3/04G06N3/08
CPCG06N3/082G06N3/048G06N3/045G06F18/217G06F18/253G06F18/214
Inventor 李振波赵远洋李一鸣吴宇峰杨普岳峻
Owner CHINA AGRI UNIV
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