Yunhong Li

Prof. Yunhong Li


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 December 2019 in IEEE Access
Verified
Journal Article
Open access
YLYunhong Li
Yunhong Li
YBYuandong Bi
Yuandong Bi
WZWeichuan Zhang
Weichuan Zhang
CSChangming Sun
Changming Sun
In this paper, a new edge detection method is proposed where multi-scale anisotropic Gaussian kernels (AGKs) are used to obtain an edge map from an input image. The main advantage of the proposed method is that high edge detection accuracy and edge resolution are attained while maintaining good noise robustness. The proposed method consists of three aspects: First, anisotropic Gaussian directional derivatives (AGDDs) are derived from the AGKs which are used to acquire local intensity variation from an input image with multiple scales. Second, multi-scale AGDD based edge strength maps (ESMs) are fused into a new ESM with high edge resolution and little edge stretch effect which has the ability to solve the contradiction issue between noise robustness and accurate edge extraction. Third, the fused ESM is embedded into the framework of Canny detection for obtaining edge contours. Finally, the criteria on precision-recall curve, detection accuracy, and noise robustness are used to evaluate the proposed detector against four state-of-the-art methods. The experimental results show that our proposed detector outperforms all the other tested edge detection methods.

19 August 2023 in Applied Sciences
Verified
Journal Article
Open access
PDF file
YLYunhong Li
Yunhong Li
YBYuandong Bi
Yuandong Bi
WZWeichuan Zhang
Weichuan Zhang
JRJie Ren
Jie Ren
JCJinni Chen
Jinni Chen
An image edge detection algorithm using multi-directional and multi-scale Gabor filters is proposed in this paper. The main merit of this method is that high edge detection accuracy can be obtained while maintaining noise robustness. The approach proposed in this paper consists of three procedures: firstly, the transformation to the CIE L*a*b* color space, which has a wide shading area and uniform distribution; secondly, under different scales, the edge feature information of the image is extracted from several different directions by Gabor filters, and a new edge strength map is obtained by feature fusion; thirdly, the new fused edge strength map is enhanced with local features, and a noise-resistant image edge detector is obtained under a novel hysteresis threshold calculation. The experiments illustrate that, compared to the methods involved, the designed edge detector outperforms by about 2% to 4%, and also shows competitive performance regarding the ability to handle noise.

7 February 2022 in IEEE Access
Verified
Journal Article
Open access
XYXiaohang Yu
Xiaohang Yu
XWXinyu Wang
Xinyu Wang
JLJie Liu
Jie Liu
RXRongrong Xie
Rongrong Xie
YLYunhong Li
Yunhong Li
Different types of noise interference lead to low accuracy of image edge detection and severe loss of feature extraction details. A new noise-robust edge detection method is proposed, which uses a set of multiscale anisotropic morphological directional derivatives to extract the edge map of an input image. The main advantage of the method is that high edge resolution is maintained while reducing noise interference. The following five parts form the whole framework of this paper. First, multiscale anisotropic morphologic directional derivatives (MSAMDDs) are proposed to filter and obtain the local gray value of the image. Second, the edge strength map (ESM) is extracted by using spatial matching filters. In the third stage, multiscale edge direction maps (EDMs) based on the directional matched filters are fused, and the new EDM is constructed. Fourth, edge contours are obtained by embedding the ESM and the EDM into the standard route of Canny detection. Finally, the precision-recall curve and Pratt’s figure of merit (FOM) are used to evaluate the proposed method against eight state-of-the-art methods on three data sets. The experimental results show that the proposed method can perform better for noise-free (F-measure value of 0.776) and Gaussian noise (FOM value of 95.75%) and attains the best performance in impulse noise images (highest FOM value of 98.90%).

1 May 2026 in Journal of Advanced Ceramics
Verified
Journal Article
Open access
PDF file
RMRuihua Mu
Ruihua Mu
XSXiaoqian Shi
Xiaoqian Shi
ZWZheng Wu
Zheng Wu
SHSiqi Hong
Siqi Hong
HLHuijuan Li
Huijuan Li
YJYanmin Jia
Yanmin Jia

Mechanical friction energy is a ubiquitous green energy that can be collected and transformed into electrical energy for water treatment, a concept theoretically referred to as tribocatalysis. The efficient removal of organic pollutants from wastewater by tribocatalysis still faces challenges. Employing doping technology to introduce metallic elements into materials is anticipated to enhance tribocatalytic performance by improving material properties. In this work, NiO and x wt.% Co-doped NiO (x=3、5、7、9) nanocatalysts are prepared using a coprecipitation method. The incorporation of Co effectively reduces the bandgap of NiO, enhancing tribocatalytic decomposition performance through the synergistic effects of charge transfer and electron transition. Notably, the optimized 7 wt.% Co-NiO nanoparticles demonstrate the leading performance in the decomposition of Rhodamine B (RhB), with a decomposition ratio of 96.7% after 120 min, representing a 23.1% increasement over pure NiO. Electrochemical impedance spectroscopy (EIS) demonstrates that Co doping reduces the charge transfer resistance of NiO, resulting in the production of more reactive species. Radical trapping experiments and electron paramagnetic resonance spectroscopy (ESR) reveal that both superoxide radical (·O2- ) and hole (h+) are key active radicals in dye decomposition. Furthermore, the 7 wt.% Co-NiO nanocatalyst exhibits excellent stability and magnetic recyclability, retaining 87.1% decomposition ratio after five cycles. The Co-NiO nanocatalyst, with these advantages of excellent tribocatalysis performance, low cost and magnetically recyclability, are potential for application in wastewater treatment through harvesting and utilizing the environmental mechanical friction energy in future.


3 July 2025 in Applied Intelligence
Verified
Journal Article
Closed access
PDF file
XSXueping Su
Xueping Su
YLYihang Lei
Yihang Lei
CWCan Wang
Can Wang
YLYunhong Li
Yunhong Li
YRYingxuan Ren
Yingxuan Ren

1 July 2022 in AIP Advances
Verified
Journal Article
Open access
PDF file
JWJiang Wu
Jiang Wu
SLShuaiqiang Li
Shuaiqiang Li
BZBo Zhang
Bo Zhang
WCWen Cao
Wen Cao
YLYunhong Li
Yunhong Li
KTKazuhiro Toyoda
Kazuhiro Toyoda
As the thermal variation may change the total electron emission yield (TEEY) of materials and may ultimately result in unexpected surface charging, it is necessary to study the TEEY at various temperatures. In this research, we first updated the TEEY measurement system with a newly designed sample stage for different temperatures (−50, 25, and 100 °C) and the primary electron from 25 eV to 10 keV. By using the 30 μs/20 nA primary electron beam and sample scanning method to mitigate surface charging, the TEEY could be accurately obtained for dielectrics. Then, we chose a kind of polyimide film (Kapton 100H) used on spacecraft and a gold film sample to compare the TEEY at various temperatures. The results show that high temperature leads to higher TEEY of Kapton films, whereas 25 and −50 °C also leads to the same. On the other hand, the TEEY of gold remains the same at different temperatures. In the view of surface hole density and charge transportation, the TEEY variation of Kapton films was analyzed by bulk conduction, charge mobility, and the electron–hole recombination property. It is considered that the dissipation rate of holes is sensitive to temperature, and furthermore, the TEEY of Kapton films is dependent on temperature.