A5045612472- Spectroscopy and Chemometric Analyses
- Video Coding and Compression Technologies
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Optical Imaging and Spectroscopy Techniques
- Advanced Data Compression Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Photoacoustic and Ultrasonic Imaging
- Advanced Photocatalysis Techniques
- Water Quality Monitoring and Analysis
- Image and Video Quality Assessment
- Advanced Measurement and Detection Methods
- Smart Agriculture and AI
- Advanced Image Processing Techniques
- Leaf Properties and Growth Measurement
- Optical Coherence Tomography Applications
- Infrared Target Detection Methodologies
- Advanced Chemical Sensor Technologies
- Advanced Image and Video Retrieval Techniques
- Hydrocarbon exploration and reservoir analysis
- Enhanced Oil Recovery Techniques
- Quantum Dots Synthesis And Properties
- Educational Reforms and Innovations
- Optical measurement and interference techniques
- Medical Image Segmentation Techniques
Zhejiang A & F University
2019-2025
Nanjing University of Posts and Telecommunications
2011-2024
Shanghai Academy of Agricultural Sciences
2024
Ministry of Agriculture and Rural Affairs
2024
Chuxiong Normal University
2024
State Forestry and Grassland Administration
2024
Jiangsu University
2024
Changsha Normal University
2024
Shanghai Research Center for Wireless Communications
2021
Zhejiang University
2013-2020
Network models that represent the void space of a rock by lattice pores connected throats can predict relative permeability once pore geometry and wettability are known. Micro-computerized-tomography scanning provides three-dimensional image space. However, these images cannot be directly input into network models. In this paper modified maximal ball algorithm, extending work Silin Patzek [D. T. Patzek, Physica A 371, 336 (2006)], is developed to extract simplified networks with parametrized...
Accurately classifying the quality of apples is crucial for maximizing their commercial value. Deep learning techniques are being widely adopted apple classification tasks, achieving impressive results. While existing research excels at variety, size, shape, and defects, color deformity analysis remain an under-explored area. Therefore, this study investigates feasibility utilizing convolutional neural networks (CNN) to classify based on machine vision technology. Firstly, a custom-assembled...
Abstract Spatial-frequency domain imaging (SFDI), as a noncontact, low-cost and wide-field optical technique, offers great potential for agro-product safety quality assessment through absorption (μ ) scattering (μ"Equation missing"<!-- image only, no MathML or LaTex -->) property measurements. In this study, laboratory-based SFDI system was constructed developed measurement of fruits vegetables. The utilized digital light projector to generate structured, periodic patterns illuminate test...
The purpose of this study is to compare the performance prediction models based either on bulk optical properties (BOP) or with diffuse reflection and transmission spectra assess soluble solids content (SSC) fruit firmness (FF) 'Fuji' apples. Diffuse 240 apples in 500-1000 nm were acquired using a self-constructed single integrating sphere system, from which absorption coefficient (μa) reduced scattering (μ's) determined. relationships μa, μ's, SSC FF analyzed, detection established partial...
<abstract> Quality evaluation of fruits and vegetables based on visible near-infrared (Vis-NIR) spectroscopy has been investigated by many research groups worldwide during the last two decades. However, conventional Vis-NIR approximately measures aggregate effect absorption scattering in without being able to separate them from each other. Optical property measurement, as an important means for analyzing or quantifying light propagation, would decouple obtain properties simultaneously. This...