Optimal selection of representative samples for efficient digital camera‐based spectra recovery-Reference-Cited by-同舟云学术

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Optimal selection of representative samples for efficient digital camera‐based spectra recovery

Published:2021-08-04 Issue:1 Volume:47 Page:107-120
ISSN:0361-2317
Container-title:Color Research & Application
language:en
Short-container-title:Color Res Appl

Author:

Liang Jinxing¹²^ORCID,Zhu Qiang¹²^ORCID,Liu Qiang³^ORCID,Xiao Kaida⁴^ORCID

Affiliation:

1. School of Computer Science and Artificial Intelligence Wuhan Textile University Wuhan China

2. Engineering Research Center of Hubei Province for Clothing Information Wuhan China

3. School of Printing and Packaging Wuhan University Wuhan China

4. School of Design University of Leeds Leeds UK

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Chemical Engineering,General Chemistry,Human Factors and Ergonomics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/col.22718

Reference35 articles.

1. Advances in multispectral and hyperspectral imaging for archaeology and art conservation

2. Spectral Reflectance Reconstruction Using Fuzzy Logic System Training: Color Science Application

3. Detection of Oil-Containing Dressing on Salad Leaves Using Multispectral Imaging

4. Smartphone-based multispectral imaging and machine-learning based analysis for discrimination between seborrheic dermatitis and psoriasis on the scalp

5. Databases for spectral color science

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1. Research on Spectral Reflectance Reconstruction Sample Selection Based on NSGA-II Algorithm;SPECTROSC SPECT ANAL;2024

2. Optimal Color Samples for Camera Spectral Sensitivity Estimation;Lecture Notes in Electrical Engineering;2024

3. Adaptive Weighted Spectral Reconstruction Method Against Exposure Variation;SPECTROSC SPECT ANAL;2023

4. Testing methods to estimate spectral reflectance using datasets under different illuminants;Color Research & Application;2023-05-13

5. Optimized Method Based on Subspace Merging for Spectral Reflectance Recovery;Sensors;2023-03-12

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