Results 121 to 130 of about 19,201,385 (283)

A Real-Time High-Resolution Multi-Focus Image Fusion Algorithm Based on Multi-Scale Feature Aggregation

Applied Sciences
In microscopic imaging, the key to obtaining a fully clear image lies in effectively extracting and fusing the sharp regions from different focal planes.
Huawei Chen, Xingkai Du, Hongchuan Huang, Tingyu Zhao   +3 more
doaj   +1 more source

Multi Level Fusion of Competitive Sensors for Automotive Environment Perception [PDF]

, 2013
A reference sensor system, consisting of a multilayer laser scanner and a stereo camera system, is used for detecting vehicle surroundings. Via a novel multi level multi sensor fusion framework the heterogeneous sensor information can be fused on three ...
Kozempel, Karsten, Haberjahn, Mathias
core  

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Multi-focus fusion method based on LADWT

, 2010
碩士眼睛是靈魂之窗，人類透過視覺的辨識功能維持主要的生活能力。影像則是必須清晰度足夠才可以足以被識別。所以影像融合(image fusion)常常被應用在提高影像的清晰度以增加眼睛的辨識能力。 在本篇論文中提出了一個多焦距融合方法，利用拉普拉斯運算可以提高影像銳利度與小波轉換的多重尺寸特性以達到增強影像的清晰度和辨識度的目的。實驗的部份，在測試合成影像的品質都得到滿意的結果，也測試了此方法對於位移(shift)具有一定程度上的容忍度。本方法也適用於多來源影像融合與彩色影像融合。A scene to be
林怡叡; Lin, Yi-ray
core   +1 more source

Multi-Focus Image Fusion Based on Fractal Dimension and Parameter Adaptive Unit-Linking Dual-Channel PCNN in Curvelet Transform Domain

Fractal and Fractional
Multi-focus image fusion is an important method for obtaining fully focused information. In this paper, a novel multi-focus image fusion method based on fractal dimension (FD) and parameter adaptive unit-linking dual-channel pulse-coupled neural network (
Liangliang Li, Sensen Song, Ming Lv, Zhenhong Jia, Hongbing Ma   +4 more
doaj   +1 more source

Multi-Focus Image Fusion Based on Convolution Neural Network for Parkinson's Disease Image Classification. [PDF]

Diagnostics (Basel), 2021
Dai Y, Song Y, Liu W, Bai W, Gao Y, Dong X, Lv W.   +6 more
europepmc   +1 more source

Multi-focus image fusion based on edge-preserving filters

, 2019
To break the limitation of camera imaging and acquire abundant information with multi-focus images, we present a novel multi-focus image fusion method based on edge-preserving filters.
Xiao, Yifan, Yifan Xiao, Shopovska, Ivana, Veelaert, Peter, Wilfried Philips, Philips, Wilfried, Ivana Shopovska, Peter Veelaert   +7 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Content aware multi-focus image fusion for high-magnification blood film microscopy. [PDF]

Biomed Opt Express, 2022
Manescu P, Shaw M, Zajiczek LN, Bendkowski C, Claveau R, Elmi M, Brown BJ, Fernandez-Reyes D.   +7 more
europepmc   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source