Yuchen Zhao

Wuhan Polytechnic University

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Marc Georges

University of Liège

Murielle Kirkove

University of Liège

Jean-François Vandenrijt

University of Liège

Philip S. Yu

University of Illinois Chicago

Hengyi Lv

Changchun Institute of Optics, Fine Mechanics and Physics

Guoling Bi

Changchun Institute of Optics, Fine Mechanics and Physics

Laurent Jacques

UCLouvain

Dayong Wang

Shanghai Institute of Measurement and Testing Technology

Hailong Liu

Chinese Academy of Sciences

Charų C. Aggarwal

IBM (United States)

Cooperative Institutions

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Changchun Institute of Optics, Fine Mechanics and Physics

University of Liège

Harbin Institute of Technology

Beijing University of Technology

Beijing Forestry University

Centre National de la Recherche Scientifique

Fudan University

Southeast University

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Effect of Commercial Black Ink on the Optical Properties of P(St-MMA-AA) Microsphere Photonic Crystal Coating on Wood Surface

Forests (2023)

Yue Su Yi Liu Jing Hu Yuchen Zhao

The mixed emulsion of P(St-MMA-AA) colloidal microspheres doped with black substances in three commercial inks (pen ink, wood color essence, propylene pigment) was coated on the wood surface. The dried colloidal microspheres self-assembled on the wood surface to form a three-dimensional photonic crystal coating. The influence of the coating on the optical properties of the wood surface was analyzed, and the influence of the type, concentration and drying temperature of the black substance on the structural color coating was explored. When three kinds of commercial black ink were mixed with colloidal microsphere emulsion to obtain photonic crystals on the wood surface, the transmitted light and the scattered light outside the photonic band gap were absorbed by black ink, which effectively reduced the light scattering inside the crystal and significantly enhanced the depth of the photonic crystal structure color. This study utilizes both pigment color and structural color, providing an environmentally friendly and novel method for colored coating of wood surfaces.

Structural Coloration

Glass microsphere

Colloidal crystal

10.3390/f14081549

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Citations (3)

Denoising Method Based on Salient Region Recognition for the Spatiotemporal Event Stream

Sensors (2023)

Sichao Tang Hengyi Lv Yuchen Zhao Yang Feng Hailong Liu

Event cameras are the emerging bio-mimetic sensors with microsecond-level responsiveness in recent years, also known as dynamic vision sensors. Due to the inherent sensitivity of event camera hardware to light sources and interference from various external factors, various types of noises are inevitably present in the camera’s output results. This noise can degrade the camera’s perception of events and the performance of algorithms for processing event streams. Moreover, since the output of event cameras is in the form of address-event representation, efficient denoising methods for traditional frame images are no longer applicable in this case. Most existing denoising methods for event cameras target background activity noise and sometimes remove real events as noise. Furthermore, these methods are ineffective in handling noise generated by high-frequency flickering light sources and changes in diffused light reflection. To address these issues, we propose an event stream denoising method based on salient region recognition in this paper. This method can effectively remove conventional background activity noise as well as irregular noise caused by diffuse reflection and flickering light source changes without significantly losing real events. Additionally, we introduce an evaluation metric that can be used to assess the noise removal efficacy and the preservation of real events for various denoising methods.

Video denoising

10.3390/s23156655

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Citations (2)

A Back Propagation neural network based optimizing model of space-based large mirror structure

Optik (2018)

Zhongshan Wang Jingxu Zhang Jixin Wang Xin He Liangliang Fu

Backpropagation

10.1016/j.ijleo.2018.09.161

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Citations (16)

Dynamic Vision Sensor Tracking Method Based on Event Correlation Index

Complexity (2021)

Hengyi Lv Feng Yang Yisa Zhang Yuchen Zhao

Dynamic vision sensor is a kind of bioinspired sensor. It has the characteristics of fast response, large dynamic range, and asynchronous output event stream. These characteristics make it have advantages that traditional image sensors do not have in the field of tracking. The output form of the dynamic vision sensor is asynchronous event stream, and the object information needs to be provided by the relevant event cluster. This article proposes a method based on the event correlation index to obtain the object’s position, contour, and other information and is compatible with traditional tracking methods. Experiments show that this method can obtain the position information of the moving object and its continuous motion trajectory and analyze the influence of the parameters on the tracking effect. This method will have broad application prospects in security, transportation, etc.

Tracking (education)

Position (finance)

10.1155/2021/8973482

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Citations (4)

Iterative phase-retrieval-assisted off-axis terahertz digital holography

Applied Optics (2019)

Yuchen Zhao Jean-François Vandenrijt Murielle Kirkove Marc Georges

In terahertz digital holography, the off-axis configuration is the appropriate choice when the investigated object is non-sparse and complex. The limitation of recording distance in the off-axis configuration restricts the imaging quality. Either low-resolution or spectra overlap can potentially occur. We propose an iterative phase-retrieval approach to improve the quality of reconstruction results obtained from an off-axis hologram. One additional capture of object wave intensity is recorded to perform iterative phase retrieval with off-axis reconstruction as the initial guess. Apodization operation can be applied to the object wave intensity capture to suppress undesired border diffraction effects. The image quality using the proposed method has been improved both from simulation and experimental verification.

Digital holography

Apodization

Digital Holographic Microscopy

10.1364/ao.58.009208

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Citations (14)

Complex Coupling Representation in Low-Dimensional Space for Control-Oriented Energy-Consuming Industries Modeling

J. X. Mu Chunjie Yang Feng Yan Yutong Wu Shaoqi Wang

Representation

10.2139/ssrn.4977780

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Citations (0)

On Clustering Graph Streams.

SIAM International Conference on Data Mining (2010)

Charų C. Aggarwal Yuchen Zhao Philip S. Yu

In this paper, we will examine the problem of clustering massive graph streams. Graph clustering poses significant challenges because of the complex structures which may be present in the underlying data. The massive size of the underlying graph makes explicit structural enumeration very difficult. Consequently, most techniques for clustering multi-dimensional data are difficult to generalize to the case of massive graphs. Recently, methods have been proposed for clustering graph data, though these methods are designed for static data, and are not applicable to the case of graph streams. Furthermore, these techniques are especially not effective for the case of massive graphs, since a huge number of distinct edges may need to be tracked simultaneously. This results in storage and computational challenges during the clustering process. In order to deal with the natural problems arising from the use of massive disk-resident graphs, we will propose a technique for creating hash-compressed micro-clusters from graph streams. The compressed micro-clusters are designed by using a hash-based compression of the edges onto a smaller domain space. We will provide theoretical results which show that the hash-based compression continues to maintain bounded accuracy in terms of distance computations. We will provide experimental results which illustrate the accuracy and efficiency of the underlying method.

Clustering coefficient

Source

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Citations (62)

Focal plane detection via holographic autofocusing criterion applied on Terahertz TDS system

Yuchen Zhao Dinh T. Nguyen Yves Hermandez Marc Georges

Holographic autofocusing technique is applied on a terahertz time-domain spectroscopy system to improve focus accuracy. We experimentally perform the focus plane detection with TDS measurement. Amplitude and phase information at different wavelengths are exacted.

10.1364/3d.2018.jtu4a.33

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Citations (1)

Onset of the Pullout Motion of Spherical Object from Columns of Sand

Bulletin of the American Physical Society (2018)

Payman Jalali Yuchen Zhao Yue Zhang Robert Behringer

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Thermography-inspired processing strategy applied on shearography towards nondestructive inspection of composites

Optical Measurement Systems for Industrial Inspection XI (2019)

Murielle Kirkove Yuchen Zhao Pascal Blain Jean-François Vandenrijt Marc Georges

Shearography nondestructive inspection (NDI) based on the use of thermal stress in studied in view of detecting defects in composite materials. In particular, we would like to extract the content of information that is present in the deformation due to the evolving deformation during the variation of the stress. For that a good approach is to try to apply processing techniques which are largely applied in thermography NDI for the same purpose. We will discuss the necessity of pre-processing the shearography data to make them compatible with thermography inspired processing techniques. After that we will present the statistical analysis based on principal components, and we will discuss the possibility of deterministic analysis based on the temporal behavior during and after heating.

Shearography

Thermography

10.1117/12.2525083

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Citations (2)