Painting in Turbulent Times: House Wall Art, Culture, and Commentary in Colonial East Africa

Felber-Seligman, Yaari

doi:10.1162/afar_a_00528

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…e first step is to transform the input image into a normalized image through preprocessing. e second step is to extract the features of the image [26]. en image perception is generated by semisupervised training.…”

Section: Realization Of Painting Elements Of Art Workmentioning

confidence: 99%

Analysis of Painting Elements of Tea Culture and Art Works Based on Image Perception

Zhao

2022

Security and Communication Networks

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The art works take tea as the theme of painting elements, and depict the content of Chinese traditional culture by showing the connotation of tea culture painting elements. For example, Wen Zhiming, a painter and calligrapher in Ming Dynasty, is best at painting landscape figures. He often uses tea as the theme in his art works, adding the elegant, natural, and simple painting elements of tea into his works, and has created many famous art works that are spread around the world. In recent years, with the deepening of the research on image processing technology, image perception technology has attracted more and more researchers’ attention, which has made great achievements and progress in image perception algorithms. This paper studies the tea culture elements of art works based on image perception algorithm. The accuracy of similar image pairs is the ratio that similar image pairs are correctly recognized. When the number of experiments reaches 25, the image sensing algorithm in this paper has the highest accuracy rate, with the accuracy rate of 99.8%, when the number of experiments reaches 20, the ant colony algorithm with the accuracy rate of 96.5%, when the number of experiments reaches 20, and finally the artificial intelligence algorithm with the accuracy rate of 96.0%. The correct rate of similar image pairs is the correct recognition rate of tampered image pairs. When the number of experiments reaches 10 times, the correct rate of image perception algorithm in this paper still ranks first, with the correct rate of 99.8%, when the number of experiments reaches 25 times, the artificial intelligence algorithm with the correct rate of 98.2%, and finally when the number of experiments reaches 10 times, the ant colony algorithm with the correct rate of 96.2%. It can be seen that the numerical values in this column show the robustness of this algorithm. Through the cultivation of students’ image perception ability, it can promote students’ appreciation ability of tea culture painting elements, learn the knowledge of tea culture painting elements beauty in a deeper level, master the skills of beauty, and improve their artistic temperament and artistic accomplishment.

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Section: Realization Of Painting Elements Of Art Workmentioning

confidence: 99%

Analysis of Painting Elements of Tea Culture and Art Works Based on Image Perception

Zhao

2022

Security and Communication Networks

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Exploring purification methods to improve retrieval of collagenous binder residues from archeological murals

Zhu

Dong

et al. 2023

Journal of Cultural Heritage

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Painting in Turbulent Times: House Wall Art, Culture, and Commentary in Colonial East Africa

Cited by 2 publications

References 23 publications

Analysis of Painting Elements of Tea Culture and Art Works Based on Image Perception

Analysis of Painting Elements of Tea Culture and Art Works Based on Image Perception

Exploring purification methods to improve retrieval of collagenous binder residues from archeological murals

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