Results 51 to 60 of about 1,159 (170)

Forming optimal projection images from intra-retinal layers using curvelet-based image fusion method

Journal of Medical Signals and Sensors, 2020
Background: Image fusion is the process of combining the information of several input images into one image. Projection images obtained from three-dimensional (3D) optical coherence tomography (OCT) can show inlier retinal pathology and abnormalities ...
Jalil Jalili, Hossein Rabbani, Alireza Mehri Dehnavi, Raheleh Kafieh, Mohammadreza Akhlaghi   +4 more
doaj   +1 more source

Leveraging Optical Anisotropy of the Morpho Butterfly Wing for Quantitative, Stain‐Free, and Contact‐Free Assessment of Biological Tissue Microstructures

Advanced Materials, Volume 37, Issue 12, March 26, 2025.
We leverage the intrinsic optical anisotropy of the Morpho butterfly wing to introduce Morpho‐Enhanced Polarized Light Microscopy (MorE‐PoL), a stain‐ and contact‐free imaging methodology that quantitatively assesses the microstructural properties of fibrous biological tissues.
Paula Kirya, Aida Mestre‐Farrera, Jing Yang, Lisa V. Poulikakos   +3 more
wiley   +1 more source

Active Seismic Exploration of Planetary Subsurfaces via Compressive Sensing

Earth and Space Science, Volume 12, Issue 3, March 2025.
Abstract Geophysical measurements, such as seismic experiments, are a key target for scientific activities on planetary surfaces. Dense spatial sampling of such measurements is often desirable, and acquisition is traditionally performed at regular intervals.
Jingchuan Wang, Nicholas C. Schmerr, Vedran Lekić, Jacob Giles, Linden Wike, Austin Hoyle, Ernest Robert Bell, Naoma McCall, Jacob A. Richardson, Patrick Whelley, John D. West, Shannon Rees, Casey Braccia, Caela Barry, Jose M. Hurtado, Tara Sweeney, Nohemi Valenzuela   +16 more
wiley   +1 more source

Multimodal Biometrics: A Review of Handcrafted and AI–Based Fusion Approaches

IET Biometrics, Volume 2025, Issue 1, 2025.
As security threats continue to evolve, multimodal biometric recognition systems (MBRSs) have emerged as robust solutions for reliable user authentication. To the best of our knowledge, this study presents the first systematic literature review (SLR) specifically focused on MBRS based on physiological traits, combining traditional image processing ...
Hind Es-Sobbahi, Mohamed Radouane, Khalid Nafil, Vincenzo Conti   +3 more
wiley   +1 more source

Denoising of CT and MRI Images Using Decomposition-Based Curvelet Thresholding and Classical Filtering Techniques

Applied Sciences
Medical image denoising is crucial for enhancing the diagnostic accuracy of CT and MRI images. This paper presents a modular hybrid framework that combines multiscale decomposition techniques (Empirical Mode Decomposition, Variational Mode Decomposition,
Mahmoud Nasr, Krzysztof Brzostowski, Rafał Obuchowicz, Adam Piórkowski   +3 more
doaj   +1 more source

A novel algorithm for PET and MRI fusion based on digital curvelet transform via extracting lesions on both images

Electronic Physician, 2017
Background and aim: Merging multimodal images is a useful tool for accurate and efficient diagnosis and analysis in medical applications. The acquired data are a high-quality fused image that contains more information than an individual image.
Shirin Hajeb Mohammad Alipour, Mohammad Houshyari, Ahmad Mostaar   +2 more
doaj   +1 more source

Detection and Characterisation of Atypical Harmonic Patterns in Big Power Quality Data

IET Generation, Transmission &Distribution, Volume 19, Issue 1, January/December 2025.
This paper proposes a new algorithm to identify and assess properties of atypical harmonic patterns in long‐term monitoring data adaptively. The well‐known challenges of field application, such as data accuracy validation, missing data handling, adaptability to dynamic data nature (seasonality and trends), and data mining results interpretation, are ...
Olga Zyabkina, Max Domagk, Jan Meyer, Peter Schegner, Marco Lindner, Heiko Mayer, Christoph Butterer   +6 more
wiley   +1 more source

A Hybrid Signal Processing and Deep Learning Framework for Accurate Transformer Fault Identification [PDF]

E3S Web of Conferences
Accurate discrimination among magnetizing inrush currents and internal fault currents is still a major problem in power transformer protection. Conventional time domain analysis gives little or no insight into transient characteristics and stimulates ...
Krishna Rao Y.V. Balarama, Swathi G.V., V Pandurangachari, Suresh Shamnty, Rao G. Madhusudhana   +4 more
doaj   +1 more source

Sparse representation for restoring images by exploiting topological structure of graph of patches

IET Image Processing, Volume 19, Issue 1, January/December 2025.
To elevate sparse representation learning, this study leverages a graph learning model to delineate similarity relationships among image patches, utilizing this model for the initial image reconstruction phase. To capitalize on inter‐patch relationships while preserving individual patch characteristics, low‐rank constraints are integrated during the ...
Yaxian Gao, Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou, Xiaoke Ma   +5 more
wiley   +1 more source

An Unsupervised Image Enhancement Method Based on Adaptation Region Divisions

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This paper proposes an image enhancement method that combines traditional techniques with deep learning. It converts images to Lab color space, calculates texture complexity, adaptation region divisions and uses a convolutional autoencoder for noise reduction.
Kaijun Zhou, Weiyi Yuan, Yemei Qin
wiley   +1 more source