A New Method for Extracting Refined Sketches of Ancient Murals
Mural paintings, as the main components of painted cultural relics, have essential research value and historical significance. Due to their age, murals are easily damaged. Obtaining intact sketches is the first step in the conservation and restoration of murals. However, sketch extraction often suff...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/7/2213 |
| _version_ | 1797211950708424704 |
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| author | Zhiji Yu Shuqiang Lyu Miaole Hou Yutong Sun Lihong Li |
| author_facet | Zhiji Yu Shuqiang Lyu Miaole Hou Yutong Sun Lihong Li |
| author_sort | Zhiji Yu |
| collection | DOAJ |
| description | Mural paintings, as the main components of painted cultural relics, have essential research value and historical significance. Due to their age, murals are easily damaged. Obtaining intact sketches is the first step in the conservation and restoration of murals. However, sketch extraction often suffers from problems such as loss of details, too thick lines, or noise interference. To overcome these problems, a mural sketch extraction method based on image enhancement and edge detection is proposed. The experiments utilize Contrast Limited Adaptive Histogram Equalization (CLAHE) and bilateral filtering to enhance the mural images. This can enhance the edge features while suppressing the noise generated by over-enhancement. Finally, we extract the refined sketch of the mural using the Laplacian Edge with fine noise remover (FNR). The experimental results show that this method is superior to other methods in terms of visual effect and related indexes, and it can extract the complex line regions of the mural. |
| first_indexed | 2024-04-24T10:34:38Z |
| format | Article |
| id | doaj.art-707d6ab2dd8d4396a2a1c83984753f85 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-24T10:34:38Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-707d6ab2dd8d4396a2a1c83984753f852024-04-12T13:26:29ZengMDPI AGSensors1424-82202024-03-01247221310.3390/s24072213A New Method for Extracting Refined Sketches of Ancient MuralsZhiji Yu0Shuqiang Lyu1Miaole Hou2Yutong Sun3Lihong Li4School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaYungang Research Institute, Datong 037007, ChinaMural paintings, as the main components of painted cultural relics, have essential research value and historical significance. Due to their age, murals are easily damaged. Obtaining intact sketches is the first step in the conservation and restoration of murals. However, sketch extraction often suffers from problems such as loss of details, too thick lines, or noise interference. To overcome these problems, a mural sketch extraction method based on image enhancement and edge detection is proposed. The experiments utilize Contrast Limited Adaptive Histogram Equalization (CLAHE) and bilateral filtering to enhance the mural images. This can enhance the edge features while suppressing the noise generated by over-enhancement. Finally, we extract the refined sketch of the mural using the Laplacian Edge with fine noise remover (FNR). The experimental results show that this method is superior to other methods in terms of visual effect and related indexes, and it can extract the complex line regions of the mural.https://www.mdpi.com/1424-8220/24/7/2213digital conservation of muralsimage enhancementedge detectionsketch extraction |
| spellingShingle | Zhiji Yu Shuqiang Lyu Miaole Hou Yutong Sun Lihong Li A New Method for Extracting Refined Sketches of Ancient Murals Sensors digital conservation of murals image enhancement edge detection sketch extraction |
| title | A New Method for Extracting Refined Sketches of Ancient Murals |
| title_full | A New Method for Extracting Refined Sketches of Ancient Murals |
| title_fullStr | A New Method for Extracting Refined Sketches of Ancient Murals |
| title_full_unstemmed | A New Method for Extracting Refined Sketches of Ancient Murals |
| title_short | A New Method for Extracting Refined Sketches of Ancient Murals |
| title_sort | new method for extracting refined sketches of ancient murals |
| topic | digital conservation of murals image enhancement edge detection sketch extraction |
| url | https://www.mdpi.com/1424-8220/24/7/2213 |
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