| 研究生: |
商博淵 Shang, Po-Yuan |
|---|---|
| 論文名稱: |
以影像處理法分析文化資產中花崗岩石材性質之研究與應用 Research and Application of Using Image Processing Method to Analyze the Properties of Granite Stones in Cultural Heritage |
| 指導教授: |
吳秉聲
Wu, Ping-Sheng 楊懷仁 Yang, Huai-Jen |
| 學位類別: |
博士 Doctor |
| 系所名稱: |
規劃與設計學院 - 建築學系 Department of Architecture |
| 論文出版年: | 2024 |
| 畢業學年度: | 112 |
| 語文別: | 中文 |
| 論文頁數: | 171 |
| 中文關鍵詞: | 花崗岩 、非破壞性調查 、影像處理 、礦物比例 、機械性質 |
| 外文關鍵詞: | Granite, Non-destructive Investigation, Image Processing Program, Mineral Proportions, Mechanical Property |
| 相關次數: | 點閱:63 下載:3 |
| 分享至: |
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花崗岩是臺灣古蹟、歷史建築中相當重要的建材之一,可當結構材也可當裝飾材,且運用的範圍相當廣泛。而建材的基本性質則是建築體維護與修復時所需之必備資料,但一直以來臺灣對於文化資產中的花崗岩本身並沒有系統性的研究。
傳統上,對石材進行定量分析比較需進行破壞性分析,然而文化資產通常禁止採樣。為解決此問題,本研究旨在開發一項非破壞性的方法,以定量比較文化資產中的花崗岩原件與替換材料,來確保修復工程的文化真實性,並且評估花崗岩基本性質。
本研究選擇開發一種非破壞性的影像處理程序,將花崗岩影像分成灰白色系和粉棕色系兩大類,且定量分析花崗岩主要礦物的比例,進行外觀比較。此方法以影像處理技術區分不同礦物的色彩特徵,並通過實際應用於文化資產案例,驗證了其可行性。
此外,本研究還通過試驗分析建立了花崗岩的機械性質數據,並探討了其與礦物組成之間的關係。最終,我們通過建立機械性質與礦物比例之經驗關係式,提出了一種便利且有效的石材岩性評估方法。
本研究的方法為文化資產中花崗岩的非破壞性調查提供了一個有效率、可靠又永續的解決方案,有助於維護和修復古蹟、歷史建築中的花崗岩材料。
Granite is one of the most important building materials in Taiwan's monuments and historical buildings. It can be used as a structural material or a decorative material, and it is used in a wide range of applications. The basic properties of building materials are essential materials needed for the maintenance and restoration of buildings.
Traditionally, quantitative comparisons of stone have required destructive analysis, yet cultural heritage often prohibit sampling. To address this issue, this study aimed to develop a non-destructive method to quantitatively compare original and replacement granite materials in cultural heritage to ensure the cultural authenticity of restoration projects and to assess fundamental granite properties.
This study chose to develop a non-destructive image processing program to divide granite images into two categories: gray-white and pink-brown. The proportions of the main minerals in the granite were quantitatively analyzed and compared in appearance. This method uses image processing technology to distinguish the color characteristics of different minerals, and its feasibility has been verified through actual application in cultural heritage cases.
In addition, this study also established mechanical property data of granite through experimental analysis and explored its relationship with mineral composition. Finally, we proposed a convenient and effective stone lithology evaluation method by establishing an empirical relationship between mechanical properties and mineral proportions.
The method of this study provides an efficient, reliable and sustainable solution for the non-destructive investigation of granite in cultural heritage, helping to maintain and restore granite materials in monuments and historical buildings.
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