论文速递：高光谱技术在文物保护与鉴定中的应用探索

1. Mining painted cultural relic patterns based on principal component images selection and image fusion of hyperspectral images.

Abstract：Because painted cultural relics are fragile and precious, traditional methods aren’t suitable for analyzing them. A new domain is proposed to resolve this question: hyperspectral imaging technology can observe images when the range of the image is from visible to near infrared light. Further, this can be done without damaging the painted cultural relics. This paper presents a method that can automatically mine painted cultural relic patterns. With this method, the principal component images are obtained via the minimum noise fraction method. A salient object detection method is used to obtain the striking images of the principal component images. The principal component image corresponding to the salient image with the largest average gradient value is selected as the optimal principal component image. The optimal principal component image and true color image are fused, in order to obtain a painted culture relic image so that the patterns are mined. Experimental data includes pottery and murals. The results show that the proposed method can automatically and effectively mine painted cultural relic pattern information that is not easily observed by the human eye.

Keywords: Painted cultural relic Pattern mining Hyperspectral image Minimum noise fraction Salient object detection Fusion

1.基于高光谱图像主成分图像选取与图像融合的彩绘文物图案挖掘

摘要：彩绘文物易碎且珍贵，传统的分析方法已不适用于彩绘文物。针对这一问题，提出了一个新的领域：高光谱成像技术可以在可见光至近红外光范围内对图像进行观测，且不损伤彩绘文物。本文提出一种自动挖掘彩绘文物图案的方法。该方法采用最小噪声分率法获取主成分图像，利用显著性目标检测方法获取主成分图像中的显著图像，选取平均梯度值最大的显著性图像对应的主成分图像作为最优主成分图像，将最优主成分图像与真彩色图像进行融合，得到彩绘文物图像，从而挖掘出其中的图案。实验数据包括陶器和壁画。结果表明,所提方法能自动、有效地挖掘人眼不易观察到的彩绘文物图案信息。

关键词:彩绘文物、图案挖掘、高光谱图像、最小噪声分数、显著目标检测、融合

DOI：https:// DOI .org/10.1016/j.culher.2018.09.008

期刊：Journal of Cultural Heritage

2. Hyperspectral imaging and analysis for sketch painting

Abstract:Spectral analysis is a practical analytical technique suitable for the study of painting. Especially hyperspectral imaging has gradually become a hot research topic in the scientific analysis of painting relics, due to its characteristics such as non-invasive, non-contact, fast imaging and high spectral resolution. It is mainly used to extract the intrinsic information that is difficult to observe in painting with naked eyes. In this study, two seemingly identical sketch paintings served as samples, one was painted with a 2B pencil, the other with a 4B pencil. A ground-based hyper spectral imager was used to obtain the hyperspectral data cube for the two sketch paintings in the range of 390 nm–1025 nm. And the two paintings were analyzed and compared in terms of spectral characteristics. Results indicated that hyperspectral imaging greatly facilitates the ac quisition of the diagnostic spectral characteristics of different materials in painting. And the specific target in paintings can be effectively identified through hyperspectral analysis, which is of great help to painting identification. At the same time, DC characteristics and detail char acteristics of the painting can be extracted, which are helpful for the researchers to analyze the painting style. In brief, it is further proved that the hyperspectral imaging has significant sci entific and practical value in the protection and preservation of painting relics.

Keywords: Sketch painting Scientific analysis Hyperspectral imaging Spectral characteristic Painting style

2.素描画的高光谱成像与分析

摘要：光谱分析是一种适用于绘画研究的实用分析技术，尤其是高光谱成像技术，以其无损、非接触、快速成像、高光谱分辨率等特点，逐渐成为绘画文物科学分析的热点研究课题，主要用于提取绘画中肉眼难以观察到的内在信息。本研究以两幅看似相同的素描画为样本，一幅用2B铅笔绘制，另一幅用4B铅笔绘制。利用地面高光谱成像仪获取两幅素描画在390nm–1025nm范围内的高光谱数据立方体，并对两幅画的光谱特征进行分析比较。结果表明，高光谱成像极大地方便了获取绘画中不同材质的诊断光谱特征，通过高光谱分析可以有效地识别画作中的特定目标，对画作鉴定有很大帮助。同时，可以提取画作的直流特征和细节特征，有助于研究者分析画作的风格，进一步证明了高光谱成像在绘画文物保护与保存中具有重要的科学价值和实用价值。

关键词：素描画、科学分析、高光谱成像、光谱特征、绘画风格

期刊：Optik - International Journal for Light and Electron Optics

DOI：https:// DOI .org/10.1016/j.ijleo.2020.164686