PIGMENT IDENTIFICATION BY ANALYTICAL IMAGING USING MULTISPECTRAL IMAGES

被引:9
|
作者
Toque, Jay Arre [1 ]
Sakatoku, Yuji [1 ]
Ide-Ektessabi, An [1 ]
机构
[1] Kyoto Univ, Grad Sch Engn, Adv Imaging Technol Lab, Kyoto, Japan
来源
2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年
关键词
Multispectral; analytical imaging; cultural heritage; spectral reflectance; AIC;
D O I
10.1109/ICIP.2009.5414508
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study utilized multispectral images to analyze pigments on a painting. This was accomplished by capturing multispectral images using a high-resolution image scanning system equipped with a monochromatic line CCD. The images were used to reconstruct spectral reflectance by solving a linear transfer function model representing camera response and material response. The CCD sensor response was filtered using Akaike Information Criterion (AIC) to eliminate the effect of noisy data. The pigments on the painting were identified by comparing the reconstructed spectral reflectance to a database of widely used Japanese pigments. The first derivative of the spectral reflectance was calculated using the Savitzky-Golay method to further improve the matching. Experimental results have shown good agreement between the actual pigments and the estimated pigments. Further developments on the technique employed in this study may eventually provide a beneficial tool for the nondestructive and noninvasive investigation of artworks.
引用
收藏
页码:2861 / 2864
页数:4
相关论文
共 50 条
  • [31] Use of Multispectral Imaging in Varietal Identification of Tomato
    Shrestha, Santosh
    Deleuran, Lise Christina
    Olesen, Merete Halkjaer
    Gislum, Rene
    SENSORS, 2015, 15 (02): : 4496 - 4512
  • [32] Implementation of a Neural Network for Multispectral Luminescence Imaging of Lake Pigment Paints
    Chane, Camille Simon
    Thoury, Mathieu
    Tournie, Aurelie
    Echard, Jean-Philippe
    APPLIED SPECTROSCOPY, 2015, 69 (04) : 430 - 441
  • [33] Analytical imaging of cultural heritage paintings using digitally archived images
    Toque, Jay Arre
    Sakatoku, Yuji
    Ide-Ektessabi, Ari
    COMPUTER VISION AND IMAGE ANALYSIS OF ART, 2010, 7531
  • [34] Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging
    Bautista, Pinky A.
    Yagi, Yukako
    DIAGNOSTIC PATHOLOGY, 2011, 6
  • [35] Identification of atherosclerotic plaque components using cluster analysis of multispectral MR images: comparison with histology
    Clarke, S
    Rutt, B
    Lucas, A
    Lownie, S
    Hammond, R
    Mitchell, JR
    MEDICAL IMAGING 2000: PHYSIOLOGY AND FUNCTION FORM MULTIDIMENSIONAL IMAGES, 2000, 3978 : 304 - 311
  • [36] Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging
    Pinky A Bautista
    Yukako Yagi
    Diagnostic Pathology, 6
  • [37] AUTOMATIC PIGMENT IDENTIFICATION ON ROMAN EGYPTIAN PAINTINGS BY USING SPARSE MODELING OF HYPERSPECTRAL IMAGES
    Rohani, Neda
    Salvant, Johanna
    Bahaadini, Sara
    Cossairt, Oliver
    Walton, Marc
    Katsaggelos, Aggelos
    2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2016, : 2111 - 2115
  • [38] Denoising of multispectral images using wavelet thresholding
    Scheunders, P
    IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING IX, 2004, 5238 : 28 - 35
  • [39] Cucumber Diseases Diagnosis using Multispectral Images
    Feng, Jie
    Li, Hongning
    Shi, Junsheng
    Yang, Weiping
    Liao, Ningfang
    PIAGENG 2009: IMAGE PROCESSING AND PHOTONICS FOR AGRICULTURAL ENGINEERING, 2009, 7489
  • [40] Spatial clustering using neighborhood for multispectral images
    Raj, Aditya
    Minz, Sonajharia
    JOURNAL OF APPLIED REMOTE SENSING, 2020, 14 (03)