Facial skin colour classification using machine learning and hyperspectral imaging data-Reference-Cited by-同舟云学术

Facial skin colour classification using machine learning and hyperspectral imaging data

Published:2021-11-24 Issue:2 Volume:16 Page:509-520
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Zhu Wanshan¹^ORCID,Sang Peng²,He Yifan³

Affiliation:

1. School of Business Renmin University of China Beijing China

2. Department of Industrial Engineering Tsinghua University Beijing China

3. Beijing Key Lab of Plant Resource Research and Development Beijing Technology and Business University Beijing China

Funder

Beijing Technology and Business University

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12366

Reference25 articles.

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2. Chain. Drug. Rev. 2018 Skin care bridges health and beauty; sales grow

3. Use of noninvasive imaging in the management of skin cancer

4. Gevaux L. Cherel M. Séroul P. Clerc R. Trémeau A. Hébert M.:Hyperspectral imaging and spatial frequency domain imaging: combined acquisition for full face skin analysis. In:Proc. SPIE 10881 Imaging Manipulation and Analysis of Biomolecules Cells and Tissues XVII 108810P.San Francisco CA(2019).https://doi.org/10.1117/12.2506998

5. A dynamic ensemble approach to robust classification in the presence of missing data

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