A5101805939- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Smart Agriculture and AI
- Medical Image Segmentation Techniques
- Image Processing and 3D Reconstruction
- Remote Sensing and Land Use
- Leaf Properties and Growth Measurement
- Advanced Vision and Imaging
- Genomics and Phylogenetic Studies
- Remote Sensing and LiDAR Applications
- Robotics and Sensor-Based Localization
- Image and Object Detection Techniques
- Remote Sensing in Agriculture
- Multi-Criteria Decision Making
- Risk and Portfolio Optimization
- Spectroscopy and Chemometric Analyses
- Radiomics and Machine Learning in Medical Imaging
- Image Processing Techniques and Applications
- Fuzzy Systems and Optimization
- Face and Expression Recognition
- Contact Mechanics and Variational Inequalities
- Advanced Clustering Algorithms Research
- Handwritten Text Recognition Techniques
- Multisensory perception and integration
- Energy Efficient Wireless Sensor Networks
Peking University First Hospital
2024
Peking University
2024
Xi'an Jiaotong University
2009-2024
Nanjing University of Finance and Economics
2014-2024
National Satellite Ocean Application Service
2023
Zhejiang University
2023
Griffith University
2013-2022
Northwest A&F University
2014-2022
Chinese Pharmaceutical Association
2022
Institute of Food Science and Technology
2022
This paper presents a novel approach for both fast and accurately retrieving similar shapes. A hierarchical string cuts (HSC) method is proposed to partition shape into multiple level curve segments of different lengths from point moving around the contour describe gradually completely global information finest details. At each level, are cut by strings extract features that characterize geometric distribution properties in particular The translation, rotation, scale mirror invariant HSC...
Most researches involved so far in kiwifruit harvesting robot suggest the scenario of daytime for taking advantage sunlight. A operating at nighttime can overcome problem low work efficiency and would help to minimize fruit damage. In addition, artificial lights be used ensure constant illumination instead variable natural sunlight image capturing. This paper aims study recognition using lighting based on machine vision. Firstly, an RGB camera was placed underneath canopy that clusters...
As an inversion-based imaging algorithm, least-squares reverse time migration (LSRTM) refines seismic images toward true-reflectivity earth models. It overcomes the shortcomings of conventional algorithms via iterative inversion to gradually correct errors. LSRTM also suppresses side lobes image wavelets generate with high spatial resolution. Recovered weak events and steep dips are enhanced during iterations balanced illumination. The true-amplitude behavior will greatly benefit...
Effectively describing and recognizing leaf shapes under arbitrary deformations, particularly from a large database, remains an unsolved problem. In this research, we attempted new strategy of shape by walking along bunch chords that pass through the to measure regions trespassed. A novel chord walks (CBW) descriptor is developed effectively integrates image function over walked reflect contour features inner properties shape. For each point, groups multiple pairs build hierarchical...
Effectively describing and recognizing leaf shapes under arbitrary variations, particularly from a large database, remains an unsolved problem. In this research, we attempted new strategy of by walking measuring along bunch chords that pass through the shape. A novel chord walks (CBW) descriptor is developed behavior effectively integrates shape image function over walked to reflect both contour features inner properties For each point, groups multiple pairs build hierarchical framework for...
A novel shape description method is proposed for mobile retrieval of leaf images to aid in plant recognition. In this method, traveling the contour, convexity and concavity properties arches various levels are measured, respectively, generate a multiscale descriptor. Its performance has been tested on two datasets experimental results indicated higher recognition accuracies than state-of-the-art approaches with speed improvement more 170 times. The successfully applied develop prototype...
In this paper, we present a novel mathematical tool, Structure Integral Transform (SIT), for invariant shape description and recognition. Different from the Radon (RT), which integrates image function over 1D line in plane, proposed SIT builds upon two orthogonal integrals 2D K -cross dissecting structure spanning across all rotation angles by regions are bisected each integral. The brings following advantages RT: 1) it has extra of describing interior structural relationship within provides...
Leaf identification is a significant and challenging task for computer vision community due to the large intra-class variations small inter-class differences of leaf image patterns. In this paper, novel shape descriptor, called Integral Contour Angle (ICA), proposed accurate classification retrieval images. For contour point, two bunches vectors emanate from it ends at its left neighbor points right ones respectively. Their average form an angle (termed ICA) having inherent invariance...
Intertidal habitats are among the harshest environments on planet, and have emerged as a model system for exploring ecological impacts of global climate change. Deploying reliable instrumentation to measure environmental conditions such temperature is challenging in this environment. The application wireless sensor networks (WSNs) shows considerable promise means optimizing continuous data collection, but poor link quality unstable connections between nodes, caused by harsh physical...
Pulmonary nodule detection can significantly influence the early diagnosis of lung cancer while is confused by false positives.
With the development of market economy, Mergers and Acquisitions has become a trend in company. How to effectively analyze evaluate financial performance listed companies which implemented Acquisitions, how find factors influence financ ial performance, adopt effective measures improve have important things. This paper introduced some operations interval-valued intuitionistic uncertain linguistic sets, further developed induced correlated aggregation (I-IVIULCA) operator. We also establish...