Application and improvement of Canny edge-detection algorithm for exterior wall hollowing detection using infrared thermal images

Y Lu, L Duanmu, ZJ Zhai, Z Wang - Energy and Buildings, 2022 - Elsevier
The periodic hollowing inspection of the existing building exterior wall is crucial for public
safety and building energy conservation. Due to its non-destructive and intuition advantage …

Thermal-inertial SLAM for the environments with challenging illumination

J Jiang, X Chen, W Dai, Z Gao… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
In recent years, longwave infrared (LWIR) cameras have become potential in visual
simultaneous localization and mapping (SLAM) research since the delivered thermal …

DPNet: Detail-preserving image deraining via learning frequency domain knowledge

H Yang, D Zhou, J Cao, Q Zhao - Digital Signal Processing, 2022 - Elsevier
The quality of images captured in rainy days is severely degraded, which affects the
accuracy of subsequent computer vision tasks. Recently, many deep learning-based …

Denoising transthoracic echocardiographic images in regional wall motion abnormality using deep learning techniques

AS Beevi, S Ratheesha, S Kalady, JJ Chackola - Soft Computing, 2023 - Springer
Image analysis and classification perform well in pre-processed noise-free images than in
corrupted images. Synthetic aperture radar (SAR) images, Ultrasound (US) medical images …

Multi-spectral color vision fusion jointly with two-stream feature interaction and color transformation network

Z Ding, H Li, D Zhou, Y Liu, R Hou - Digital Signal Processing, 2023 - Elsevier
To utilize the complementary information and color vision fidelity in multispectral fusion task,
a robust color vision fusion framework is proposed to provide a promising informative fusion …

Infrared thermal image denoising with symmetric multi-scale sampling network

X Hu, S Luo, C He, W Wu, H Wu - Infrared Physics & Technology, 2023 - Elsevier
We propose an infrared thermal image denoising method based on the residual learning
with a symmetric multi-scale (SM) encoder-decoder sampling structure (SMEDS). The U …

Infrared image denoising via adversarial learning with multi-level feature attention network

P Yang, H Wu, L Cheng, S Luo - Infrared Physics & Technology, 2023 - Elsevier
We propose an infrared image denoising method based on the adversarial learning with a
multi-level feature attention network (MLFAN). A multi-level feature attention block (MLFAB) …

NSTBNet: Toward a nonsubsampled shearlet transform for broad convolutional neural network image denoising

Z Lyu, Y Chen, Y Hou, C Zhang - Digital Signal Processing, 2022 - Elsevier
Deep convolutional neural networks (CNNs) have achieved huge success in the image
denoising fields. However, there still have three drawbacks to be overcome: firstly, it is a big …

Image enhancement of maritime infrared targets based on scene discrimination

Y Jiang, L Dong, J Liang - Sensors, 2022 - mdpi.com
Infrared image enhancement technology can effectively improve the image quality and
enhance the saliency of the target and is a critical component in the marine target search …

[HTML][HTML] Improved faster R-CNN and adaptive Canny algorithm for defect detection using eddy current thermography

J Li, L Zhang, W Zheng - AIP Advances, 2024 - pubs.aip.org
Eddy current thermography (ECT) is a non-invasive testing method that combines
electromagnetic induction and infrared thermography to identify flaws in materials that …