發(fā)布時(shí)間：2018-10-17 10:08

【摘要】：目的古畫(huà)隱藏信息是包含在畫(huà)作中的一種微弱信息,對(duì)于文物鑒定與修復(fù)具有非常重要的意義,如何快速無(wú)損準(zhǔn)確提取古畫(huà)中微弱的隱藏信息是目前研究和應(yīng)用的一大技術(shù)難題,本文利用高光譜成像技術(shù)快速無(wú)損提取古畫(huà)隱藏信息。方法對(duì)古畫(huà)進(jìn)行高光譜掃描成像,得到短波紅外波段(1 000 2 500 nm)的高光譜立方體數(shù)據(jù),聯(lián)合多種光譜匹配技術(shù)分析古畫(huà)中人物頭冠顏料種類(lèi);利用主成分分析技術(shù),提取古畫(huà)頭冠周?chē)磕ê圹E。結(jié)果通過(guò)多種光譜匹配算法對(duì)顏料進(jìn)行分析,確定了顏料種類(lèi),并對(duì)匹配算法進(jìn)行了對(duì)比,結(jié)果表明在顏料混合的情況下,光譜匹配算法仍能夠有效的識(shí)別出混合顏料的端元種類(lèi),光譜信息散度與光譜角的匹配算法SID_SA匹配精度可以達(dá)到0.096,相比其他匹配算法,效果最好;利用主成分分析技術(shù)分層剝離主要背景信息后,頭冠周?chē)挥诋?huà)作底層的涂抹信息得到了加強(qiáng),可以有效地區(qū)分背景顏料信息與涂抹信息,提取隱藏信息。結(jié)論高光譜分析技術(shù)對(duì)古畫(huà)隱藏信息的提取有很好地識(shí)別效果,能夠準(zhǔn)確提取繪畫(huà)顏料種類(lèi),發(fā)現(xiàn)繪畫(huà)過(guò)程中的涂抹等痕跡,特別適用于混合顏料的種類(lèi)識(shí)別與畫(huà)作底層信息提取,發(fā)掘畫(huà)作隱藏信息,為文物保護(hù)修復(fù)與鑒定提供支持。
[Abstract]:Objective the hidden information of ancient paintings is a kind of weak information contained in paintings, which is of great significance for the identification and restoration of cultural relics. How to extract the weak hidden information from ancient paintings quickly and accurately is a big technical problem in current research and application. This paper uses hyperspectral imaging technology to extract the hidden information of ancient paintings quickly and without loss. Methods the hyperspectral cube data of short-wave infrared band (1 000 2 500 nm) were obtained by hyperspectral scanning imaging of ancient paintings, and the types of crowns pigments in ancient paintings were analyzed by means of multiple spectral matching techniques, and principal component analysis (PCA) technique was used. Extract the smear marks around the crown of the ancient painting. Results the pigments were analyzed by various spectral matching algorithms, and the types of pigments were determined, and the matching algorithms were compared. The results showed that when the pigments were mixed, Spectral matching algorithm can still effectively identify the end-member types of mixed pigments. The matching accuracy of spectral information divergence and spectral angle matching algorithm SID_SA can reach 0.096, compared with other matching algorithms, the effect is the best. Using principal component analysis (PCA) technology to delaminate the main background information, the smear information located in the bottom layer of the painting around the crown is strengthened, which can effectively distinguish the background pigment information from the smear information, and extract the hidden information. Conclusion the extraction of hidden information of ancient paintings by high spectral analysis has a good recognition effect, and it can accurately extract the types of painting pigments, and find the traces of painting, such as smear, etc. It is especially suitable for the category recognition of mixed pigments and the extraction of the underlying information of the painting, and to excavate the hidden information of the paintings, and to provide support for the preservation, restoration and identification of cultural relics.
【作者單位】： 中國(guó)科學(xué)院遙感與數(shù)字地球研究所;廣州星博科儀有限公司;
【基金】：北京市科技委員會(huì)項(xiàng)目(Z151100003615004)~~
【分類(lèi)號(hào)】：K879.4;O433;TP391.41

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