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Shrimp seedling positioning method

A positioning method and technology of shrimp seedlings, applied in applications, other equipment, animal husbandry, etc., can solve problems such as accurate positioning of shrimp seedlings

Active Publication Date: 2018-12-11
FISHERY MACHINERY & INSTR RES INST CHINESE ACADEMY OF FISHERY SCI
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] The invention provides a method for locating shrimp seedlings, aiming to solve the problem that it is difficult to accurately locate shrimp seedlings in the machine vision research on the movement of shrimp seedlings

Method used

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Embodiment Construction

[0022] PCA (principal Component Analysis), the principal component analysis method, is one of the most widely used data compression algorithms. In PCA, the data is transformed from the original coordinate system to the new coordinate system, determined by the data itself. When transforming the coordinate system, the direction with the largest variance is used as the direction of the coordinate axis, because the largest variance of the data gives the most important information of the data. The first new coordinate axis selects the method with the largest variance in the original data, and the second new coordinate axis selects the direction that is orthogonal to the first new coordinate axis and has the second largest variance. This process is repeated for the number of feature dimensions of the original data.

[0023] SVM (Support Vector Machine) refers to a support vector machine, which is a common discriminant method. In the field of machine learning, it is a supervised le...

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Abstract

The invention relates to a shrimp seedling positioning method. A received digital shrimp seedling image is preprocessed and a shrimp seedling contour is extracted; a minimum circumscribed rectangle ismade for the extracted shrimp seedling contour and a shrimp seedling identification rectangle is constructed by using the long axis direction and the center position of the minimum circumscribed rectangle as references; shrimp seedling identification is carried out on images in all shrimp seedling identification rectangles in the digital shrimp seedling image by using a pre-built shrimp seedlingidentification model and direction identification is carried out on the identified shrimp seedling; skeleton extraction is carried out on the identified shrimp seedling to obtain a shrimp seedling trunk, wherein an included angle between the shrimp seedling trunk and a horizontal line is the shrimp seedling direction; whether the shrimp seedling skeleton has an effective angular point is determined; if so, angular point detection is carried out; if not, an optimal matched shrimp seedling image is searched according to the shrimp seedling identification model; and the complete shrimp seedling skeleton rotates and the angular point is placed at the front end point of a to-be-located shrimp seedling skeleton, and then angular point detection is carried out, so that the precise position of theshrimp seedling is obtained.

Description

technical field [0001] The invention belongs to the technical field of aquaculture, and in particular relates to a positioning method for shrimp seedlings. Background technique [0002] Shrimp behavior refers to the external response of shrimp to changes in the internal environment such as salinity, pH value, temperature, dissolved oxygen content, etc. The improvement of breeding technology has a positive effect. In the process of shrimp behavior quantitative research, whether shrimp can be effectively located and tracked is the key factor to determine the success of shrimp behavior research, and shrimp seedlings are also very important for shrimp detection because of their small size and strong light transmission. and positioning difficulties. [0003] At present, the identification of moving shrimp and the behavior research of shrimp mostly adopt the method of manual observation. However, because manual observation is easily influenced by the outside world and is subject...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A01K29/00
CPCA01K29/005
Inventor 王帅刘世晶唐荣
Owner FISHERY MACHINERY & INSTR RES INST CHINESE ACADEMY OF FISHERY SCI
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