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Recognition method and device for analyzing starvation degree of penaeus vannamei boone based on underwater imaging

A recognition device and recognition method technology, applied in image analysis, biometric recognition, character and pattern recognition, etc., can solve problems such as low production efficiency and intensification of aquaculture, increased oxygen consumption, backward breeding technology and infrastructure, etc.

Inactive Publication Date: 2020-09-22
ZHEJIANG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although my country is already a large shrimp-producing country, it is not yet a strong shrimp farming country. The farming technology and infrastructure are relatively backward, and the production efficiency and intensification of the farming industry are low.
At present, my country's breeding technology and infrastructure are relatively backward, which is mainly reflected in the unreasonable feeding of feed, and the amount of feeding is basically based on the personal experience of the farmers.
Generally speaking, due to the long feeding cycle of shrimp, it is difficult to observe the specific situation of feeding, and the farmers can only roughly feed according to experience. This method may cause unreasonable feed feeding. The waste of bait will also increase oxygen consumption, cause water pollution, increase the infection rate, and affect the output and quality of aquatic products

Method used

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  • Recognition method and device for analyzing starvation degree of penaeus vannamei boone based on underwater imaging
  • Recognition method and device for analyzing starvation degree of penaeus vannamei boone based on underwater imaging
  • Recognition method and device for analyzing starvation degree of penaeus vannamei boone based on underwater imaging

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Experimental program
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Embodiment 1

[0033] Such as figure 1 and figure 2 As shown, the detection device includes a bracket with a cubic structure, the camera 1 and the lens are located at the center of the top, and are fixed by two horizontal bars. Due to the turbid water quality, in actual operation, in addition to the natural light source, there is also a special external enhanced light source, and four light sources 2 are respectively fixed on the four corners of the top. The bottom is the detection platform 3, the color is blue.

[0034] The present invention adopts a monocular vision system, that is, a single camera is used to collect image information of a target object. A camera is relatively simple to collect information, convenient to store, less information, convenient and fast, and can better obtain two-dimensional information of shrimp body.

[0035] Considering the particularity of the underwater environment, a special camera dedicated to underwater is used to obtain effective image information,...

Embodiment 2

[0044] Based on the underwater imaging analysis method to identify the hunger degree of Penaeus vannamei, the specific steps are as follows:

[0045] Shrimp direction identification and speed calculation:

[0046] (1) Image segmentation

[0047] The image of prawns is acquired under a white background, and the color of the shrimp itself is darker, which is quite different from the background, so the maximum between-class variance method is used for threshold segmentation. After the region of interest is extracted from the original image, the RGB three-color component data of the shrimp is obtained.

[0048] (2) smooth denoising

[0049] In the process of image acquisition, due to objective reasons such as equipment and environment and some characteristics of the target object itself, most of the original images have certain noise information. The spatial smoothing method is adopted, and the nonlinear smoothing filter-median filter is selected. The basic principle is to repl...

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Abstract

The invention provides a recognition device for analyzing the starvation degree of penaeus vannamei boone based on underwater imaging. The recognition device comprises a support, a camera installed atthe top of the support, a plurality of light sources for illumination and a processor connected with the camera. The processor receives prawn images collected by the camera, extracts prawn edge images after preprocessing, and calculates prawn movement speed and bait quantity after head and tail identification so as to identify prawn hunger degree. The invention further provides an identificationmethod for analyzing the starvation degree of the penaeus vannamei boone based on underwater imaging. Through the prawn images which are photographed in real time, the starvation degree of prawns is judged, breeding personnel are guided to feed the prawns, and reasonable breeding of the prawns is achieved.

Description

technical field [0001] The invention relates to the field of identifying the hunger degree of prawns, in particular to a method and device for identifying the hunger degree of Penaeus vannamei based on underwater imaging analysis. Background technique [0002] Penaeus vannamei, also known as Penaeus vannamei and Penaeus vannamei, is native to the warm waters of the Pacific coast of Central and South America. It is an excellent species for intensive high-yield farming. It is listed as the world's three major farming species together with Penaeus monodon and Penaeus chinensis. shrimp. In recent years, Penaeus vannamei has gradually become an important cultured shrimp species in my country because of its characteristics of fast growth, high-density breeding, delicious meat, and high meat content. Ranking first in the world, the output is about 600,000 tons. [0003] Although my country is already a large shrimp-producing country, it is not yet a strong shrimp farming country. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/13G06T7/136G06T7/187G06T5/00A01K61/59
CPCG06T7/11G06T7/136G06T7/13G06T7/187A01K61/59G06T2207/10016G06T2207/10024G06T2207/20081G06T2207/20024G06T2207/30242G06T5/70H04N7/185G06T5/20G06T7/246G06T2207/20032G06V40/10G06V10/26G06V10/30G06V10/44G06V20/05Y02A40/81G06T7/0012G06T7/12G06T7/292G06T7/90G06T2207/20132H04N23/74
Inventor 聂鹏程曾国权蔡铖勇於俊琦张慧何勇马建忠陈琛闫茂仓
Owner ZHEJIANG UNIV
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