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Applied Sciences
Special Issues
Advanced Spectral Imaging Applications: Characterization, Detection and Classification
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Advanced Spectral Imaging Applications: Characterization, Detection and Classification

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".

Deadline for manuscript submissions: 20 December 2024 | Viewed by 1380

Special Issue Editor

Dr. Ningfang Liao

E-Mail Website
Guest Editor
State Key Discipline Laboratory of Color Science and Engineering and State Education Ministry Key Laboratory of Photoelectronic Imaging Technology and Systems, School of Optoelectronics, Bei**g Institute of Technology, Bei**g 100081, China
Interests: hyper-spectral and multi-spectral imaging; color science; color imaging technology

Special Issue Information

Dear Colleagues,

Spectral imaging technology is a combination of imaging and spectral detection technology, which can obtain spectral information on any pixel of the target. According to the spectral resolution, spectral imaging technologies include multi-spectral imaging and hyper-spectral imaging. According to the spectral range, they include ultraviolet, visible, and infrared spectral imaging. According to the optical system, they include scanning, snapshot, and compressed sensing. Advanced spectral imaging technologies are fundamental tools for the development of many fields. They are extensively applied in fields such as biology, geography, agriculture, medical treatment, military, printing industry, aerospace, etc. Specifically, spectral information can be utilized for geological detection, material classification, component analysis, remote sensing imaging, color reproduction, and so on. Therefore, this Special Issue aims to present advanced spectral imaging technologies and applications, including new methods and experimental results from theoretical research to application.

This Special Issue focuses on, but is not limited to, ultraviolet, visible, and infrared spectral imaging technologies, multi-spectral and hyper-spectral imaging, applications in characterization, detection, classification, remote sensing, and color reproduction, as well as other issues in spectral imaging and applications.

Dr. Ningfang Liao
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • spectral imaging
  • spectral imaging applications
  • multi-spectral imaging
  • hyper-spectral imaging

Published Papers (2 papers)

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Research

14 pages, 3707 KiB  
Article
A Study on the Color Prediction of Ancient Chinese Architecture Paintings Based on a Digital Color Camera and the Color Design System
by Guang Lv, Ningfang Liao, Chang Yuan, Lizhong Wei and Yunpeng Feng
Appl. Sci. 2024, 14(13), 5916; https://doi.org/10.3390/app14135916 (registering DOI) - 6 Jul 2024
Viewed by 281
Abstract
Color paintings such as painted facades and interiors are important decoration elements of ancient Chinese architectures. The color of the paintings usually fades over time due to exposure to strong light, high humidity, high temperatures, and other environmental factors. In order to restore [...] Read more.
Color paintings such as painted facades and interiors are important decoration elements of ancient Chinese architectures. The color of the paintings usually fades over time due to exposure to strong light, high humidity, high temperatures, and other environmental factors. In order to restore or reproduce the color appearance of ancient architecture paintings correctly, it was necessary to study the color degradation process of such paintings. To meet the needs of on-site colorimetric measurement of the paintings on ancient Chinese architectures, we propose using a digital color camera and the CDS (Color Design System) to measure and evaluate the colors of such paintings. The CDS is a color order system recommended by the Chinese national technical committee for color standardization (SAC/TC 120) in 2017 (GB/Z 35473-2017). The current version of the CDS atlas contains about 2740 samples which were uniformly distributed on the whole color space, and can be used to set up the colorimetric characterization model for the digital camera. Particularly, the digital CDS lookup table contains over 400 thousand samples, and it can be used to express the color of paintings on ancient Chinese architectures. In the experiment, a digital color camera was used to capture the colors of the paintings on the ancient Chinese architectures of different years based on the CDS and polynomial transform method. Moreover, a linear interpolation method was proposed for calculating and predicting the color degradation of such paintings. The experimental results show that with the increase in years, the color hue of the paintings changes slowly, while the lightness and the chroma of them fade obviously. In the future, more ancient architectures of different years and from different places should be selected as experimental samples to improve the method and the results of the paper. Full article
(This article belongs to the Special Issue Advanced Spectral Imaging Applications: Characterization, Detection and Classification)
13 pages, 16687 KiB  
Article
A Novel Line-Scan Algorithm for Unsynchronised Dynamic Measurements
by Simon Verspeek, Thomas De Kerf, Bart Ribbens, Xavier Maldague, Steve Vanlanduit and Gunther Steenackers
Appl. Sci. 2024, 14(1), 235; https://doi.org/10.3390/app14010235 - 27 Dec 2023
Viewed by 771
Abstract
In non-destructive inspections today, the size of the sample being examined is often limited to fit within the field of view of the camera being used. When examining larger specimens, multiple image sequences need to be stitched together into one image. Due to [...] Read more.
In non-destructive inspections today, the size of the sample being examined is often limited to fit within the field of view of the camera being used. When examining larger specimens, multiple image sequences need to be stitched together into one image. Due to uneven illumination, the combined image may have artificial defects. This manuscript provides a solution for performing line-scan measurements from a sample and combining the images to avoid these artificial defects. The proposed algorithm calculates the pixel shift, either through checkerboard detection or by field of view (FOV) calculation, for each image to create the stitched image. This working principle eliminates the need for synchronisation between the motion speed of the object and the frame rate of the camera. The algorithm is tested with several cameras that operate in different wavelengths (ultraviolet (UV), visible near infrared (Vis-NIR) and long-wave infrared (LWIR)), each with the corresponding light sources. Results show that the algorithm is able to achieve subpixel stitching accuracy. The side effects of heterogeneous illumination can be solved using the proposed method. Full article
(This article belongs to the Special Issue Advanced Spectral Imaging Applications: Characterization, Detection and Classification)
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