Laser & Optoelectronics Progress, Volume. 61, Issue 18, 1837017(2024)

Pigment Classification Method of Mural Multi-Spectral Image Based on Multi-Scale Superpixel Segmentation

Yamin Chen1, Ke Wang1, Zhan Wang2, Huiqin Wang1、*, Yuan Li3, and Gang Zhen2
Author Affiliations
  • 1College of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi , China
  • 2Shaanxi Institute for the Preservation of Cultural Heritage, Xi'an 710075, Shaanxi , China
  • 3Xi'an Museum, Xi'an 710074, Shaanxi , China
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    References(22)

    [1] Yang W Z, Tang X J, Zhang P C et al. Research on a method for virtual restoration of the colors of tomb mural pigments based on spectral fusion analysis[J]. Sciences of Conservation and Archaeology, 35, 11-23(2023).

    [11] Fu H, Sun G Y, Zhao Y H et al. Combining multiscale superpixel segmentation and singular spectral analysis for hyperspectral image classification[J]. Journal of Image and Graphics, 26, 1978-1993(2021).

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    Yamin Chen, Ke Wang, Zhan Wang, Huiqin Wang, Yuan Li, Gang Zhen. Pigment Classification Method of Mural Multi-Spectral Image Based on Multi-Scale Superpixel Segmentation[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1837017

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    Paper Information

    Category: Digital Image Processing

    Received: Feb. 5, 2024

    Accepted: Mar. 7, 2024

    Published Online: Sep. 14, 2024

    The Author Email: Huiqin Wang (hqwang@xauat.edu.cn)

    DOI:10.3788/LOP240671

    CSTR:32186.14.LOP240671

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