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<abstract><p>Medical image fusion is a crucial technology for biomedical diagnoses. However, current fusion methods struggle to balance algorithm design, visual effects, and computational efficiency. To address these challenges, we introduce a novel medical image fusion method based on the multi-scale shearing rolling weighted guided image ...
Fang Zhu, Wei Liu
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Improving the Performance of Infrared and Visible Image Fusion Based on Latent Low-Rank Representation Nested With Rolling Guided Image Filtering [PDF]
The fusion quality of infrared and visible image is very important for subsequent human understanding of image information and target processing. The fusion quality of the existing infrared and visible image fusion methods still has room for improvement in terms of image contrast, sharpness and richness of detailed information.
Ce Gao +4 more
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AbstractTo preserve rich detail information and high contrast, a novel image fusion algorithm is proposed based on rolling-guided filtering combined with deep feature extraction. Firstly, input images are filtered to acquire various scales decomposed images using rolling guided filtering.
Wei Cheng 0008 +3 more
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Infrared and visible image fusion based on rolling guided filter and ResNet101
2021 International Conference on Electronic Information Engineering and Computer Science (EIECS), 2021An infrared and visible image fusion algorithm based on rolling guided filter and residual network is proposed. The source image is divided into the base and the detail layer images by using the rolling guided filter. For the base image fusion, the source image is sent to the residual network, the multilayer depth features are extracted and integrated ...
Guangqiu Chen
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Detail enhancement decolorization algorithm based on rolling guided filtering
Multimedia Tools and Applications, 2021An important goal of color image gray-scale is to keep the edge details of the original color image as much as possible. In many cases, the degree of feature discrimination is maintained, but in some cases, edge details are still lost or blurred. Therefore, this paper first uses an improved non-linear global mapping grayscale method to grayscale the ...
Jinjiang Li, Zhen Hua
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Adaptive Kalman filter for guided rolling projectile attitude estimation
2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), 2016Attitude estimation is essential for inertial navigation system. When the external acceleration is significant, great errors are introduced into measurements, which is one of the main sources of performance loss in inertial navigation system. This paper addresses two problems: one is the error calibration of inertial sensors, the other is attitude ...
Xin Lu, Zhong Liu, Hongxin Zhang
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Early Rolling Bearing Fault Detection Using A Gini Index Guided Adaptive Morlet Wavelet Filter
2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering (ICMAE), 2019Rolling element bearings play a fundamental role in critical applications such as aerospace, automotive, and energy systems. Reducing operation and maintenance costs have increased the urge for more efficient detection and diagnosis of bearing faults during service time. However, early fault signals are difficult to detect as they are obscured by noise
M N Albezzawy
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Reliable Rolling‐guided Point Normal Filtering for Surface Texture Removal
Computer Graphics Forum, 2019AbstractSemantic surface decomposition (SSD) facilitates various geometry processing and product re‐design tasks. Filter‐based techniques are meaningful and widely used to achieve the SSD, which however often leads to surface either under‐fitting or over‐fitting.
Yangxing Sun +5 more
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Robust Variational Optical Flow Algorithm Based on Rolling Guided Filtering
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2018In order to solve the excessive smoothness caused by existing optical flow algorithms within motion edge regions of images under difficult scenes, such as noise, illumination changes and shadows, occlusion, large displacement, and non-rigid motion, a robust variational optical flow estimation model based on the rolling guidance filter has been proposed
Junjie Wu 0005 +3 more
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An Optimized Feature Matching Method Based on Rolling Guided Filter Constrains
Journal of Internet TechnologyUnmanned aerial vehicle (UAV) cross-view object localization is widely used in applications such as field rescue, disaster detection, and express delivery. The feature-matching method, which locates the object position by matching the UAV object image and satellite image, is a key technology for UAV cross-view object localization. This study proposes a
Xiaomin Liu +4 more
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