Fish finder based underwater fish target detection and recognition method

Abstract

The invention discloses a fish finder based underwater fish target detection and recognition research method. The method comprises the following steps: firstly performing classification training on different fish underwater sonar images, and obtaining an effective recognition classifier; secondly, using a fish finder to acquire sonar images and performing preprocessing; recombining the solar images into a three-channel image through an initial background model of a self-organizing neural network background subtraction model, transferring the three-channel image to an HSV color space, using Gaussian weights to initialize the background model, and calculating the minimum distance between a pixel and a pixel value in the background model corresponding to the pixel; performing determination, classifying the pixel into the background model if the minimum distance is less than a threshold, and updating the model; performing shadow determination if the minimum distance is greater than or equal to the threshold; determining that the pixel is a foreground if the pixel is not the background or the shadow, sending a foreground target to the trained effective recognition classifier to performrecognition and classification, and counting the number, the type and the size of the fish. The invention can quickly and accurately detect the fish target, and can effectively and correctly identifyand classify the fish target, and can be applied to the monitoring of the underwater fish group.

Description

Technical field [0001] The invention relates to a fish school detection and recognition method, which belongs to the technical field of intelligent information processing and target detection and recognition. Background technique [0002] Acoustic assessment of fishery resources is a marine biological resource survey and assessment method that has been gradually developed and improved in the past 30 years. The accurate and timely assessment of fish resources and quantities is of great significance to fishery management, production, resource development and related industries. [0003] The acoustic assessment of fishery resources uses multi-point echo detection-integration technology, among which fish finder is an important means of detecting aquatic biological resources and is widely used in fishery acoustic surveys. The main methods of acoustic detection include remote navigation method and fixed-point method to realize leak-free detection in the entire culture water area. The sig...

AI Technical Summary

Problems solved by technology

But this can only obtain the rough outline of the target fish school, and it contains a lot of noise information, so it cannot get more accurate target fish information

[0006] The sonar image obtained by the fish finder contains a lot of noise information and serious shadows, and the target detection algorithm using common optical images cannot meet the requirements of sonar image target detection

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