Preprocessing-free gear fault diagnosis using small datasets with deep convolutional neural network-based transfer learning
Early diagnosis of gear transmission has been a significant challenge, because gear faults
occur primarily at microstructure or even material level but their effects can only be observed …
occur primarily at microstructure or even material level but their effects can only be observed …
Remote sensing image fusion based on two-stream fusion network
Remote sensing image fusion (also known as pan-sharpening) aims at generating a high
resolution multi-spectral (MS) image from inputs of a high spatial resolution single band …
resolution multi-spectral (MS) image from inputs of a high spatial resolution single band …
Fastderain: A novel video rain streak removal method using directional gradient priors
Rain streaks removal is an important issue in outdoor vision systems and has recently been
investigated extensively. In this paper, we propose a novel video rain streak removal …
investigated extensively. In this paper, we propose a novel video rain streak removal …
[HTML][HTML] Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR) …
Background Precise patient setup is critical in radiation therapy. Medical imaging plays an
essential role in patient setup. As compared to computed tomography (CT) images …
essential role in patient setup. As compared to computed tomography (CT) images …
[PDF][PDF] Preprocessing by contrast enhancement techniques for medical images
S Perumal, T Velmurugan - International Journal of Pure and …, 2018 - researchgate.net
Image processing is a technique of improving the quality of an image after removing
irrelevant image data from image in various applications and domains. Medical images …
irrelevant image data from image in various applications and domains. Medical images …
Comparison of supervised and unsupervised deep learning methods for medical image synthesis between computed tomography and magnetic resonance images
Cross‐modality medical image synthesis between magnetic resonance (MR) images and
computed tomography (CT) images has attracted increasing attention in many medical …
computed tomography (CT) images has attracted increasing attention in many medical …
Rapid estimation of road friction for anti-skid autonomous driving
The failure to estimate friction on the road is a significant cause of roadway departure
crashes. It is even more relevant to autonomous vehicles (AVs) as they are currently not …
crashes. It is even more relevant to autonomous vehicles (AVs) as they are currently not …
Reshaping inputs for convolutional neural network: Some common and uncommon methods
Abstract Convolutional Neural Network has become very common in the field of computer
vision in recent years. But it comes with a severe restriction regarding the size of the input …
vision in recent years. But it comes with a severe restriction regarding the size of the input …
单幅图像超分辨率重建技术研究进展
张芳， 赵东旭， 肖志涛， 耿磊， 吴骏， 刘彦北 - 自动化学报, 2022 - aas.net.cn
图像分辨率是衡量一幅图像质量的重要标准. 在军事, 医学和安防等领域, 高分辨率图像是专业
人士分析问题并做出准确判断的前提. 根据成像采集设备, 退化因素等条件对低分辨率图像进行 …
人士分析问题并做出准确判断的前提. 根据成像采集设备, 退化因素等条件对低分辨率图像进行 …
3D skeleton‐based action recognition by representing motion capture sequences as 2D‐RGB images
In recent years, 3D skeleton‐based action recognition has become a popular technique of
action classification, thanks to development and availability of cheaper depth sensors. State …
action classification, thanks to development and availability of cheaper depth sensors. State …