發(fā)布時(shí)間：2018-06-25 19:09

  本文選題：青銅器修復(fù) + 浮雕提取��； 參考：《合肥工業(yè)大學(xué)》2017年碩士論文

【摘要】：青銅器是我國的文化瑰寶。然而,隨著我國文物事業(yè)的快速發(fā)展,積累了大量殘破青銅器,目前青銅器的修復(fù)還主要采用傳統(tǒng)技術(shù)。傳統(tǒng)青銅器修復(fù)不僅難以保證修復(fù)質(zhì)量,而且時(shí)間花費(fèi)長。因此,將現(xiàn)代數(shù)字化技術(shù)與傳統(tǒng)青銅器修復(fù)技術(shù)相結(jié)合,發(fā)展青銅器修復(fù)技術(shù),是解決日益凸現(xiàn)的青銅器修復(fù)難題的必由之路。青銅器的表面紋飾和銘文都可以看成是淺浮雕特征,在修復(fù)過程中要保證碎片之間紋飾、銘文的連貫性。因此,研究浮雕紋飾的提取對青銅器的數(shù)字化修復(fù)是至關(guān)重要。本文著重研究基于三角網(wǎng)格模型的浮雕紋飾提取算法,為實(shí)現(xiàn)青銅器數(shù)字化修復(fù)奠定基礎(chǔ)。主要研究內(nèi)容及取得的成果如下:(1)實(shí)現(xiàn)了一種基于三維曲面循環(huán)引導(dǎo)的浮雕提取算法。該算法將浮雕上的紋飾看成是附著在基曲面上的起伏或內(nèi)嵌部分,通過準(zhǔn)確地估算基曲面的法矢量,進(jìn)而重構(gòu)出基曲面的空間位置,然后將紋飾相對于基曲面的偏移量計(jì)算出來,最終使用一種聚類算法將浮雕過濾出來。實(shí)驗(yàn)結(jié)果表明:在基曲面占優(yōu)的條件下,該算法能生成高質(zhì)量的基曲面,并對浮雕特征具有較好的提取效果。(2)實(shí)現(xiàn)了一種基于高度估計(jì)的浮雕提取算法。該算法認(rèn)為浮雕由兩部分組成:基曲面和定義在該基曲面上的高度函數(shù)。由于浮雕所位于的基曲面是未知的,這使得基曲面上的高度函數(shù)分析非常困難。在沒有準(zhǔn)確估計(jì)基曲面情況下,該算法能夠較為準(zhǔn)確估計(jì)出高度函數(shù),然后采用高斯混合模型分析該高度函數(shù)來自動(dòng)確定分割閾值,從而提取出浮雕紋飾特征。實(shí)驗(yàn)結(jié)果表明該算法對于高浮雕的提取效果較好。(3)提出并實(shí)現(xiàn)了一種基于特征增強(qiáng)的浮雕尖銳特征提取算法。首先,為了減少網(wǎng)格均勻度對特征提取的不利影響,提出了一種加權(quán)投影距離;其次,為了增強(qiáng)尖銳特征,提出一種逆雙邊濾波算法,并利用該算法獲得反銳化掩膜法,增強(qiáng)投影距離;最后,采用Otsu算法自動(dòng)確定分割閾值,依據(jù)該閾值把網(wǎng)格頂點(diǎn)分為特征點(diǎn)集和非特征點(diǎn)集。實(shí)驗(yàn)結(jié)果表明,該算法能自動(dòng)、高效的提取浮雕的尖銳特征,對于紋飾復(fù)雜青銅器有較好提取效果。
[Abstract]:Bronze ware is the cultural treasure of our country. However, with the rapid development of cultural relics in China, a large number of broken bronzes have been accumulated. At present, the restoration of bronzes is mainly based on traditional techniques. Traditional bronze restoration is not only difficult to guarantee the quality of restoration, but also takes a long time. Therefore, combining the modern digital technology with the traditional bronze restoration technology and developing the bronze restoration technology is the only way to solve the increasingly prominent bronze restoration problem. The surface ornaments and inscriptions of bronze ware can be regarded as shallow relief features. In the process of restoration, it is necessary to ensure the continuity between fragments and inscriptions. Therefore, it is very important to study the extraction of embossed ornaments for the digital restoration of bronze ware. This paper focuses on the extraction algorithm of embossed ornaments based on triangular mesh model, which lays a foundation for the realization of bronze ware digital restoration. The main research contents and achievements are as follows: (1) A relief extraction algorithm based on 3D curved surface cycle guidance is implemented. In this algorithm, the embossed ornaments are regarded as the undulating or embedded parts attached to the base surface, and then the space position of the base surface is reconstructed by accurately estimating the normal vector of the base surface. Then, the offset of the ornaments relative to the base surface is calculated, and a clustering algorithm is used to filter out the relief. The experimental results show that the algorithm can generate high quality base surfaces under the condition that the base surface is dominant, and it has a good extraction effect for relief features. (2) an algorithm for extracting relief based on height estimation is implemented. The algorithm considers that the relief consists of two parts: the base surface and the height function defined on the base surface. Because the base surface on which the relief is located is unknown, it is very difficult to analyze the height function on the base surface. In the absence of accurate estimation of the base surface, the algorithm can estimate the height function more accurately, and then analyze the height function by using the Gao Si mixed model to determine the segmentation threshold automatically, and extract the embossed decorative features. The experimental results show that the algorithm is effective for the extraction of high relief. (3) A feature enhancement based sharp feature extraction algorithm is proposed and implemented. Firstly, in order to reduce the adverse effect of mesh uniformity on feature extraction, a weighted projection distance is proposed. Secondly, in order to enhance the sharp feature, an inverse bilateral filtering algorithm is proposed, and the anti-sharpening mask method is obtained by using this algorithm. Finally, Otsu algorithm is used to automatically determine the segmentation threshold, according to which the mesh vertices are divided into feature point set and non-feature point set. The experimental results show that the algorithm can automatically and efficiently extract the sharp features of relief carving, and has a good effect on the extraction of complex bronzes with decorative patterns.
【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.41;K876.41

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本文編號：2067166