A reconstruction method and system based on high-speed visual diagnosis and bp neural network
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A BP neural network and vision technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as slow reconstruction speed, improve accuracy, facilitate efficient implementation, and reduce computational complexity.
Active Publication Date: 2021-12-14
CHONGQING UNIV OF POSTS & TELECOMM
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In the process of conversion, the homography matrix of the conversion will be calculated. In traditional algorithms such as Zhang Zhengyou calibration and Cai's calibration, the homography matrix is calculated, so the reconstruction speed is slow.
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Embodiment 1
[0046] This embodiment proposes a specific implementation method of a reconstruction method based on high-speed visual diagnosis and BP neural network.
[0047] In this embodiment, a shot of plasma discharge data is taken as an example to illustrate the specific implementation steps of the present invention, and the goal is to perform plasma optical edge reconstruction on a plasma image collected in one frame. Record the plasma image corner coordinate matrix to be collected as I, I contains 35,000 coordinate points, and then record the obtained world coordinate point matrix as T.
[0048]Plasma edge pixels typically have high brightness values, indicating high global contrast, specifically, the effective value of a pixel by the way it contrasts with other pixels. For an image I with m×n pixels, the saliency value s(x, y) of a pixel I(x, y) is defined as:
[0049]
[0050] In order to reduce the overall calculation time, the above formula is simplified:
[0051]
[0052...
Embodiment 2
[0062] This embodiment proposes a reconstruction system based on high-speed visual diagnosis and BP neural network. The system includes a data acquisition module, a plasma discharge image angular coordinate acquisition module, a corresponding matrix acquisition module, a feature transformation module, a normalization module, and a neural network. Network model; where:
[0063] The data acquisition module is used to acquire real-time data and training data, and the acquired real-time data is;
[0064] The plasma discharge image angular coordinate acquisition module extracts the angular point coordinates of the historical high-speed collected plasma discharge image through an edge extraction algorithm;
[0065] The corresponding matrix acquisition module is used to acquire the corresponding matrix from the image pixel coordinates to the physical coordinates during plasma discharge;
[0066] The feature transformation module performs nonlinear changes on the acquired data, and t...
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Abstract
The invention belongs to the field of EAST plasma optical edge reconstruction, and particularly relates to a reconstruction method and system based on high-speed visual diagnosis and BP neural network. The method includes collecting corner coordinates of plasma discharge images, obtaining image pixel coordinates to plasma The corresponding matrix of physical coordinates during discharge; introduce nonlinear variables to increase variables and increase variable characteristics; construct BP neural network, set the learning rate of BP neural network and allowable minimum error, and use data for training; the training will be completed The BP neural network is packaged, and the real-time data is used as the input of the neural network to predict the plasma optical edge in the real physical world; in the present invention, the process of predicting the corner coordinates of the next unknown period on the EAST device is used to predict the plasma optical edge Rebuild problem.
Description
technical field [0001] The invention belongs to the fields of machine learning and EAST plasma optical edge reconstruction, and in particular relates to a reconstruction method and system based on high-speed visual diagnosis and BP neural network. Background technique [0002] Optimizing plasma discharge requires accurate control of parameters such as plasma configuration. When these parameters cannot be directly measured, it is necessary to use external measurement data to reconstruct the plasma edge to provide optimal control parameters. At the same time, the analysis of physical diagnostic data requires accurate and reliable plasma edge reconstruction results as a reference. Therefore, it is of great significance to conduct accurate and fast EAST plasma optical edge reconstruction research. [0003] With the rapid development of computer vision technology and high-speed CCD camera software and hardware technology, it has become an important trend to use high-speed comput...
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