On the Synthesis and Morphology and Formation Peculiarities of an Alumosilicate Film on a Substrate

Gribanov, E. N.; Горшков, А. И.; Sinitsyn, E. A.; Khripunov, Yu. V.; Oskotskaya, E. R.

doi:10.1134/s1027451021010079

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…Convolutional neural network is the most typical type of neural network, which is generally composed of input layer, hidden layer and output layer ( Rafizah et al., 2018 ; Gribanov et al., 2021 ). The parameters of convolution layer include the number of input channels, the number of output channels, the size of convolution core, step size, filling, etc.…”

Section: Research On Texture Synthesis Of Ecological Plant Protection...mentioning

confidence: 99%

Texture synthesis of ecological plant protection image based on convolution neural network

Hu¹,

Zhou

Fu³

2022

Front. Plant Sci.

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Texture synthesis technology is an important realistic rendering technology. Texture synthesis technology also has a good application prospect in image rendering and other fields. Convolutional neural network is a very popular technology in recent years. Convolutional neural network model can learn the features in data and realize intelligent processing through the feature learning in data. Later, with the rapid improvement of convolutional neural network, texture synthesis technology based on neural network came into being. The purpose of this paper is to study the texture synthesis method of ecological plant protection image based on convolutional neural network. By studying the context and research implications, the definition of textures as well as texture synthesis methods, convolutional neural networks, and based on convolutional neural network. In the experiment, the experimental environment is established, and the subjective evaluation and objective evaluation of the image texture synthesis method experiment are investigated and studied by using swap algorithm. The experimental results show that the method used in this paper is superior to other methods.

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Section: Research On Texture Synthesis Of Ecological Plant Protection...mentioning

confidence: 99%

Texture synthesis of ecological plant protection image based on convolution neural network

Hu¹,

Zhou

Fu³

2022

Front. Plant Sci.

View full text Add to dashboard Cite

show abstract

On the Synthesis and Morphology and Formation Peculiarities of an Alumosilicate Film on a Substrate

Cited by 1 publication

References 17 publications

Texture synthesis of ecological plant protection image based on convolution neural network

Texture synthesis of ecological plant protection image based on convolution neural network

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