Results 61 to 70 of about 106,379 (261)

Infrared and Visible Image Fusion via L0 Decomposition and Intensity Mask

open access: yesIEEE Photonics Journal, 2019
Image fusion integrates complex information about a target scene from multiple sensors into a single image. The fused image can further be utilized for human perception or different machine vision tasks.
Lei Yan   +4 more
doaj   +1 more source

Fusion of visible and infrared images using GE-WA model and VGG-19 network

open access: yesScientific Reports, 2023
For the low computational efficiency, the existence of false targets, blurred targets, and halo occluded targets of existing image fusion models, a novel fusion method of visible and infrared images using GE-WA model and VGG-19 network is proposed. First,
Weiqiang Fan, Xiaoyu Li, Zhongchao Liu
doaj   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera   +8 more
wiley   +1 more source

Maritime vessel classification based on a dual network combining EfficientNet with a hybrid network MPANet

open access: yesIET Image Processing
Ship classification is an important technique for enhancing maritime management and security. Visible and infrared sensors are generally employed to deal with the challenging problem and improve classification performance.
Wenhui Liu   +4 more
doaj   +1 more source

A Compact Spin‐Coated Graphene UWB Antenna for Breast Tumor Detection

open access: yesAdvanced Engineering Materials, EarlyView.
A compact, spin‐coated graphene ultra‐wideband patch antenna designed for breast tumor detection, capable of distinguishing between malignant and benign tumors. This innovative antenna can serve as an effective initial screening tool, particularly in resource‐limited settings such as rural areas, where access to advanced medical equipment like MRI and ...
Raja Rashidul Hasan   +9 more
wiley   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies

open access: yesAdvanced Engineering Materials, EarlyView.
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo   +3 more
wiley   +1 more source

Performance Analysis of Abradable Coating Systems for Aircraft Gas Turbines

open access: yesAdvanced Engineering Materials, EarlyView.
Three CoNiCrAlY/YSZ/MgAl2O4 abradable liner configurations on a nickel‐superalloy are evaluated by thermal‐gradient cycling and incursion tests. Laser ablation of the bondcoat and/or Y2O3‐stabilized ZrO2 (YSZ) intermediate layer increases mechanical interlocking and bonding for thick topcoats.
Hanna Heyl   +4 more
wiley   +1 more source

Causality-Driven Infrared and Visible Image Fusion

open access: yesCoRR
Image fusion aims to combine complementary information from multiple source images to generate more comprehensive scene representations. Existing methods primarily rely on the stacking and design of network architectures to enhance the fusion performance, often ignoring the impact of dataset scene bias on model training.
Linli Ma   +6 more
openaire   +2 more sources

An Adaptive Two-Scale Image Fusion of Visible and Infrared Images [PDF]

open access: yesIEEE Access, 2019
In this paper, we proposed an adaptive two-scale image fusion method using latent low-rank representation (LatLRR). First, both IR and VI images are decomposed into a two-scale representation using LatLRR to generate low-rank parts (the global structure) and saliency parts (the local structure). The algorithm denoises at the same time. Then, the guided
Xiyu Han   +6 more
openaire   +2 more sources

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