Original scientific paper

https://doi.org/10.17559/TV-20150521123645

Extracting graphite sketch of the mural using Hyper-Spectral Imaging method

Xiaomeng Han ; 1) Beijing University of Civil Engineering and Architecture, Beijing, China / 2) Beijing Institute of Surveying and Mapping, Beijing, China No. 15 Yangfangdian Road, Beijing, China, ZIP code: 100089
Miaole Hou ; 1) Beijing University of Civil Engineering and Architecture, No. 1 Zhanlanguan Road, Beijing, China, ZIP code: 100044 / 2) University of Washington, Seattle, WA, U.S.A.
Guang Zhu ; Beijing University of Civil Engineering and Architecture, No. 1 Zhanlanguan Road, Beijing, China, ZIP code: 100044
Yuhua Wu ; Beijing University of Civil Engineering and Architecture, No. 1 Zhanlanguan Road, Beijing, China, ZIP code: 100044
Xinfeng Ding ; Beijing University of Civil Engineering and Architecture, No. 1 Zhanlanguan Road, Beijing, China, ZIP code: 100044

Abstract

Many contaminants appear in murals as time passes, which make the original mural blurred and difficult to recognize; therefore, extracting a clear graphite sketch of the mural is significant. In this study, we used invisible spectra, particularly near-infrared (NIR) bands, to detect the graphite information and strengthen the features of the mural information to obtain a graphite sketch. This is the first study to extract the contour line from the draft of the mural using hyper-spectral imaging (HSI) technology. First, spectral matching methods were used to identify the pigment of the contour line and graphite was determined as the main pigment of the draft. Then, the characteristic bands were selected by analysing the spectra of the pigments. After that, the information extraction method was used to extract the graphite information. The results showed that the method could improve the efficiency of graphite information extraction significantly. The key steps of the current method involved extracting the graphite contour line end-member spectrum, followed by mapping the grey image of the graphite contour line spectrum. Finally, the visually enhanced image was reconstructed using the alpha blending fusion method with the original visible image and the graphite information image. The efficiency of results is evaluated by quantitative methods. The study also explained and discussed the two key points of election thresholds in obtaining the graphite sketch. These results demonstrate that the method is efficient for extracting graphite sketch based on hyper-spectral data of mural, and that it could provide useful information to explore cultural relics and to support some other protection researches.

Keywords

graphite contour line; Hyper-Spectral Imaging; information extraction; murals; visual enhancement

Hrčak ID:

149390

URI

https://hrcak.srce.hr/149390

Publication date:

14.12.2015.

Article data in other languages: croatian

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