11,509 Result(s)
within
**li Zhang
English
Image Processing and Computer Vision
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Article
Research on variational optical flow method for rockfall monitoring
Rockfall is a global mountain disaster problem, which has the characteristics of wide distribution, strong randomness, and inconspicuousness. The contacted monitoring method is difficult to deploy. Simultaneou...
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Article
Color image sparse adversarial samples generation via color channel Volterra expansion
The existing sparse adversarial attack methods for color images often overlook the interplay between RGB channels. In saliency analysis, only the individual impact of each input variable on the output is consi...
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Detection and location of mount chip and solder joint based on machine vision
To realize the automated welding of mounted chips and solve the problems of low efficiency and poor yield rate of manual welding, the detection and localization algorithm of mounted chips and solder joints bas...
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Article
A scientometric review of medical flexible needle systems in surgery: signal processing, navigation and control
Flexible needle systems showing multiple advantages in various medical scenarios, characterized by their flexibility, ease of operation, adaptable control and navigation capabilities. This paper presents a sci...
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Article
Multi-class differentiation feature representation guided joint dictionary learning for facial expression recognition
The limitation of the small-scale expression samples generally causes the performance degradation for facial expression recognition-based methods. Also, the correlation between different expression is always i...
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Article
A positional-aware attention PCa detection network on multi-parametric MRI
Prostate cancer (PCa) is the most prevalent cancer among the males. PCa detection based on multi-parametric magnetic resonance imaging (mpMRI) can provide precise target points for puncture robots to enhance t...
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A two-stage fusion remote sensing image dehazing network based on multi-scale feature and hybrid attention
Remote sensing images acquired under bad weather conditions often suffer from serious degradation such as color distortion, blur and low contrast, which seriously affects their application in vision tasks. To ...
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Article
Lyapunov-based nonlinear model predictive control for the path following of bevel-tip flexible needles in 3D environment
This paper develops a Lyapunov-based nonlinear model predictive control (NMPC) method for the path-following task of bevel-tip flexible needle in 3D environments. First, a nonholonomic and nonlinear kinematic ...
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Article
Fractional wavelet combined with multi-scale morphology and PCNN hybrid algorithm for grayscale image fusion
Grayscale image fusion is an important part of the digital image processing field, which is important for the integration of image information. This paper proposes a hybrid algorithm that addresses the problem...
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Article
Attention-driven residual-dense network for no-reference image quality assessment
With the rapid development of deep learning, convolutional neural networks have been applied to no-reference image quality assessment (NR-IQA), but most methods focus on the design of complex networks, which n...
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Article
The double-feature extraction method based on slope entropy and symbolic dynamic entropy for the fault diagnosis of rolling bearing
This paper explores the application of slope entropy in fault diagnosis. In order to improve the recognition rate of faults, double-feature extraction is proposed, which combines slope entropy (SLEn) and symbo...
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Article
Towards stronger illumination robustness of local feature detection and description based on auxiliary learning
Local feature detection and description play a crucial role in various computer vision tasks, including image matching. Variations in illumination conditions significantly affect the accuracy of these applicat...
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Effective polarization-based image dehazing through 3D convolution network
The presence of numerous microscopic particles within haze contributes to the scattering of atmospheric light, leading to a notable degradation in the quality of captured images. Polarization, an intrinsic att...
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Article
A lightweight road crack detection algorithm based on improved YOLOv7 model
Road crack detection plays a crucial role in protecting road safety. However, early manual detection is not only time-consuming and laborious but also highly inefficient. Although existing road inspection vehi...
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Article
Patchlpr: a multi-level feature fusion transformer network for LiDAR-based place recognition
LiDAR-based place recognition plays a crucial role in autonomous vehicles, enabling the identification of locations in GPS-invalid environments that were previously accessed. Localization in place recognition ...
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A multi-scale feature extraction and fusion method for bearing fault diagnosis based on hybrid attention mechanism
Bearing failure is one of the most common failures in rotating mechanical. Therefore, rapid and accurate diagnosis of bearing faults is of great significance for ensuring the reliability of equipment. In recen...
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PMENet: a parallel UNet based on the fusion of multiple attention mechanisms for road crack segmentation
The presence of road cracks significantly impacts both traffic safety and road maintenance. Therefore, accurate detection of road cracks plays a crucial role in road maintenance and management. This study focu...
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Article
GCT-YOLOv5: a lightweight and efficient object detection model of real-time side-scan sonar image
Due to the high imaging resolution and large detection area, side-scan sonar (SSS) has a wide range of applications in underwater detection, such as shipwreck and wrecked aircraft search and rescue. However, l...
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Article
Improving real-time small objects detection by fusion features of spatial coordinates
The small object detection has long limited the advanced development of deep learning-based detection models. The down-sampling of vision-models leads to a severe loss of spatial information of small objects c...
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Article
Event-Driven Heterogeneous Network for Video Deraining
Restoring clear frames from rainy videos poses a significant challenge due to the swift motion of rain streaks. Traditional frame-based visual sensors, which record dense scene content synchronously, struggle ...
