A method for extracting ancient ceramic patterns based on artificial intelligence
To address missing features and reflections in the extraction process of ancient ceramic patterns, a pattern extraction method combining sharpening-smoothing and the whale-type k-means algorithm is proposed. By analyzing the reflection phenomenon of ancient ceramic images, a sharpening-smoothing ima...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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AIP Publishing LLC
2025-01-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0241138 |
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| _version_ | 1832542726971719680 |
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| author | Yu Shao Shuping Huang Miao Mei Hong Jiang Yu Jiang Dahai Liao |
| author_facet | Yu Shao Shuping Huang Miao Mei Hong Jiang Yu Jiang Dahai Liao |
| author_sort | Yu Shao |
| collection | DOAJ |
| description | To address missing features and reflections in the extraction process of ancient ceramic patterns, a pattern extraction method combining sharpening-smoothing and the whale-type k-means algorithm is proposed. By analyzing the reflection phenomenon of ancient ceramic images, a sharpening-smoothing image enhancement method is designed. It effectively improves image detail and texture expression. In addition, by analyzing the characteristics of missing graphic features in ancient ceramics, a whale-type k-means algorithm is constructed to achieve accurate extraction. The experimental results show that the accuracy of this method in ancient ceramic pattern extraction reaches 99.319%. F1 Score, MIoU, and Recall are 93.13%, 93.84%, and 87.15%, respectively. This method demonstrates superior performance in the accuracy and robustness of ancient ceramic pattern extraction. Meanwhile, it provides reliable technical support for the digital protection of cultural heritage and academic research. |
| format | Article |
| id | doaj-art-8506e0ea6af24089bdbd487cb5e5d8dd |
| institution | Kabale University |
| issn | 2158-3226 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | AIP Advances |
| spelling | doaj-art-8506e0ea6af24089bdbd487cb5e5d8dd2025-02-03T16:40:42ZengAIP Publishing LLCAIP Advances2158-32262025-01-01151015203015203-1110.1063/5.0241138A method for extracting ancient ceramic patterns based on artificial intelligenceYu Shao0Shuping Huang1Miao Mei2Hong Jiang3Yu Jiang4Dahai Liao5School of International Studies, Jingdezhen Ceramic University, Jingdezhen 333403, ChinaSchool of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen 333403, ChinaSchool of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen 333403, ChinaSchool of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen 333403, ChinaSchool of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen 333403, ChinaSchool of Mechanical and Electronic Engineering, Jingdezhen Ceramic University, Jingdezhen 333403, ChinaTo address missing features and reflections in the extraction process of ancient ceramic patterns, a pattern extraction method combining sharpening-smoothing and the whale-type k-means algorithm is proposed. By analyzing the reflection phenomenon of ancient ceramic images, a sharpening-smoothing image enhancement method is designed. It effectively improves image detail and texture expression. In addition, by analyzing the characteristics of missing graphic features in ancient ceramics, a whale-type k-means algorithm is constructed to achieve accurate extraction. The experimental results show that the accuracy of this method in ancient ceramic pattern extraction reaches 99.319%. F1 Score, MIoU, and Recall are 93.13%, 93.84%, and 87.15%, respectively. This method demonstrates superior performance in the accuracy and robustness of ancient ceramic pattern extraction. Meanwhile, it provides reliable technical support for the digital protection of cultural heritage and academic research.http://dx.doi.org/10.1063/5.0241138 |
| spellingShingle | Yu Shao Shuping Huang Miao Mei Hong Jiang Yu Jiang Dahai Liao A method for extracting ancient ceramic patterns based on artificial intelligence AIP Advances |
| title | A method for extracting ancient ceramic patterns based on artificial intelligence |
| title_full | A method for extracting ancient ceramic patterns based on artificial intelligence |
| title_fullStr | A method for extracting ancient ceramic patterns based on artificial intelligence |
| title_full_unstemmed | A method for extracting ancient ceramic patterns based on artificial intelligence |
| title_short | A method for extracting ancient ceramic patterns based on artificial intelligence |
| title_sort | method for extracting ancient ceramic patterns based on artificial intelligence |
| url | http://dx.doi.org/10.1063/5.0241138 |
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