Preliminary study for detection of adhesive on a painted ceramic plate and varnish on printed paper using near-infrared hyperspectral imaging at wavelengths of 1.0–2.35 µm

Sugawara, Shigeru; Sugizaki, Sahoe; Nakayama, Yoshihiko; Taniguchi, Hideya; Ishimaru, Ichiro

doi:10.1016/j.infrared.2021.103809

Cited by 7 publications

(3 citation statements)

References 21 publications

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“…Tens to hundreds of wavelength-specific narrow color channels are used to record the target. It is essential to specify the number of wavelengths that are employed according to the sort of considered hyperspectral camera during covering the whole target region, where the target is traced in 220 wavelengths [2]. This is the amount of data that each wavelength of the hyperspectral image will contain and is displayed as a layer of cubic data.…”

Section: Introductionmentioning

confidence: 99%

Developing satellite hyperspectral image processing using a maximum abundance classifier with nine ground truth classes

Ismaeel

Gheni

Abbas

et al. 2023

EEJET

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In the hundreds of bands of the photographed substance, hyperspectral imaging delivers a great density of spectral data. This allows the images to be used for a variety of purposes, including agriculture, geosciences, and biomedical imaging. Previous work didn’t discuss the best classifier with sufficient ground truth classes. This work presents the application of maximum abundance classification (MAC) for classifying a variety of areas over hyperspectral images. The allocation of an end-member throughout hyperspectral images can be described with abundance maps. Since each pixel's abundance values represent the proportion of each end-member that is present in that pixel, the pixels in a hyperspectral image will be classified in this study by determining the highest abundance rate of every pixel and allocating it to the corresponding end-member category. The ground truth classes are represented by nine end-members in the test data: Bitumen, Shadows, Self-Blocking Bricks, Bare Soil, highlighted Metal area, Gravel, Meadows, Trees, and Asphalt. By uniformly distributing the range of wavelength over the amount of spectral domains, we initially determine the central wavelength for each band to visualize loaded data and the end-member signatures of nine ground truth classes. Next, we estimate the end-members abundance maps. Finally, we classify the Max Abundance of every pixel to present a color-coded image, the overlaid, and the classified hyperspectral image areas over their category labels. The result demonstrates that brick, bare soil, trees, and asphalt zones have all been correctly identified in the photographs, which is beneficial for the identification or detection of materials

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Section: Introductionmentioning

confidence: 99%

Developing satellite hyperspectral image processing using a maximum abundance classifier with nine ground truth classes

Ismaeel

Gheni

Abbas

et al. 2023

EEJET

View full text Add to dashboard Cite

show abstract

“…Statistical analysis of the spectral groups can visualize differences in materials in the sample invisible to the naked eye. HSI is used in various elds [1][2][3][4][5][6][7][8][9][10][11] ; for example, Sugawara et al have studied applications such as inspecting document materials in forensic science and measuring paintings in cultural heritage science [12][13][14][15][16][17][18][19][20][21] . HSI techniques include visible (0.4-0.7 µm), near-infrared, mid-infrared, and far-infrared HSI, depending on the wavelength of light used.…”

Section: Introductionmentioning

confidence: 99%

“…Sugawara et al have used this far-infrared HSI camera with a bolometer camera, which is unique in the world, to measure the transmittance of organic lms and the re ectance of adhesives and inks on aluminum plates 14,15,18,21 . Ishimaru et al, have measured microplastics and cosmetic creams on the face [27][28][29][30][31] .…”

Section: Introductionmentioning

confidence: 99%

Preliminary measurements of oil paint on paper using a mid-infrared hyperspectral imaging system with a bolometer camera and image interferometer.

Sugawara

Ishimaru

2023

Preprint

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The research focuses on developing a cutting-edge far-infrared HSI (Hyperspectral imaging) system using a bolometer camera, a unique instrument worldwide. This system has been utilized to conduct test measurements on various samples. While previous measurements with this system successfully captured the transmission of samples and the characteristics of inks and adhesives on aluminum plates, the current study introduces improvements in the instrument and measurement method. These advancements have allowed for measuring oil paints on paper, marking a significant achievement. Specifically, 16 different oil paints (four black, four white, four blue, and four red) were subjected to measurement. A compact far-infrared HSI instrument comprising an imaging interferometer and a bolometer camera was employed. The obtained spectra were compared with those obtained using another FTIR spectrometer. To ensure consistent measurements, the sample was rotated during the process, guaranteeing uniform spectra across the entire field of view of the instrument. The success or failure of each measurement was also determined by analyzing the amplitude of the interference signal in each pixel. The results revealed varying degrees of success among the measured oil paints, with paints exhibiting higher reflectance yielding better results, while paints with lower reflectance posed significant challenges. Furthermore, the success of the measurements was influenced by the orientation of the sample's undulating surface. These results show that oil paints can be measured with the world's first far-infrared HIS system with a bolometer camera.

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Preparation and properties of UV curing varnish suited for various substrates

Hou,

Gui

2024

Journal of Photochemistry and Photobiology A: Chemistry

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Preliminary study for detection of adhesive on a painted ceramic plate and varnish on printed paper using near-infrared hyperspectral imaging at wavelengths of 1.0–2.35 µm

Cited by 7 publications

References 21 publications

Developing satellite hyperspectral image processing using a maximum abundance classifier with nine ground truth classes

Developing satellite hyperspectral image processing using a maximum abundance classifier with nine ground truth classes

Preliminary measurements of oil paint on paper using a mid-infrared hyperspectral imaging system with a bolometer camera and image interferometer.

Preparation and properties of UV curing varnish suited for various substrates

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