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Computer Vision Communication Technology in Mathematical Modeling

Xiaobo Xue

Xiaobo Xue

Shanghai Institute of Visual Arts (SIVA)Shanghai, China
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Xue, Xiaobo
, 
Xiaoyan Wu

Xiaoyan Wu

Taiyuan UniversityShanxi Taiyuan, China
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Wu, Xiaoyan
 et 
Samer Shorman

Samer Shorman

College of Arts & Science, Applied Science UniversityBahrain
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Shorman, Samer
  
15 juil. 2022
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Publié en ligne: 15 juil. 2022
Pages: 621 - 628
Reçu: 09 févr. 2022
Accepté: 28 mars 2022
DOI: https://doi.org/10.2478/amns.2022.2.0047
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© 2023 Xiaobo Xue et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Pixelated imaging model framework based on locally saliency features
Pixelated imaging model framework based on locally saliency features

Figure 2

Example of directivity difference and Gabor filter detection result
Example of directivity difference and Gabor filter detection result

Figure 3

The percentage of full model experiment scores
The percentage of full model experiment scores

Figure 4

The average number of scores of imaging results weighted by significance
The average number of scores of imaging results weighted by significance
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Anglais
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Sujets de la revue:
Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres
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