Next Article in Journal
Textile Triboelectric Nanogenerators with Diverse 3D-Spacer Fabrics for Improved Output Voltage
Previous Article in Journal
Self-Biased and Supply-Voltage Scalable Inverter-Based Operational Transconductance Amplifier with Improved Composite Transistors
Article

Hierarchic Clustering-Based Face Enhancement for Images Captured in Dark Fields

by 1, 1,2,* and 2
1
Beijing Engineering Research Center of Industrial Spectrum Imaging, University of Science and Technology, Beijing 100083, China
2
School of Electronic and Electrical Engineering, School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Tomasz Trzcinski
Electronics 2021, 10(8), 936; https://doi.org/10.3390/electronics10080936
Received: 9 March 2021 / Revised: 3 April 2021 / Accepted: 12 April 2021 / Published: 14 April 2021
(This article belongs to the Section Computer Science & Engineering)
A hierarchic clustering-based enhancement is proposed to solve the luminance compensation of face recognition in the dark field. First, the face image is divided into five levels by a clustering method. Second, the results above are mapped into three hierarchies according to the histogram thresholds. A low, a middle, and a high-intensity block are found. Third, two kinds of linear transforms are performed to the high and the low-intensity blocks. Finally, a center wrap function-based enhancement is carried out. Experiment results show our method can improve both the face recognition accuracy and image quality. View Full-Text
Keywords: hierarchic clustering; image enhancement; dark field; image quality; face recognition hierarchic clustering; image enhancement; dark field; image quality; face recognition
Show Figures

Figure 1

MDPI and ACS Style

Zheng, N.; Liu, H.; Zhang, Z. Hierarchic Clustering-Based Face Enhancement for Images Captured in Dark Fields. Electronics 2021, 10, 936. https://doi.org/10.3390/electronics10080936

AMA Style

Zheng N, Liu H, Zhang Z. Hierarchic Clustering-Based Face Enhancement for Images Captured in Dark Fields. Electronics. 2021; 10(8):936. https://doi.org/10.3390/electronics10080936

Chicago/Turabian Style

Zheng, Na, Haoting Liu, and Zhiqiang Zhang. 2021. "Hierarchic Clustering-Based Face Enhancement for Images Captured in Dark Fields" Electronics 10, no. 8: 936. https://doi.org/10.3390/electronics10080936

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop