Results 21 to 30 of about 2,482,901 (176)
IET Image Processing, Volume 20, Issue 1, January/December 2026.This study presents a robust facial recognition framework based on a unified optimised feature vector that fuses handcrafted descriptors and deep learning embeddings. Using binary grey wolf optimisation for feature selection, the approach reduces redundancy while preserving discriminative power.
Farid Ayeche, Adel Alti
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The contourlet transform: an efficient directional multiresolution image representation [PDF]
IEEE Transactions on Image Processing, 2005 The limitations of commonly used separable extensions of one-dimensional transforms, such as the Fourier and wavelet transforms, in capturing the geometry of image edges are well known. In this paper, we pursue a "true" two-dimensional transform that can capture the intrinsic geometrical structure that is key in visual information.
Minh N. Do, Martin Vetterli
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Quantum Machine Learning Applications to Medical Images: A Survey
IET Quantum Communication, Volume 7, Issue 1, January/December 2026.In this review paper, we provide an outline of quantum neural networks (QNNs), quantum convolution neural networks (QCNNs) and various hybrid models. We also explore human brain‐inspired quantum neuromorphic computing by the quantum spiking neural networks (QSNN).
Mahua Nandy Pal +2 more
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Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.The invention of infrastructure facilities in intelligent transportation systems is skyrocketing every day. The improvements in such things have many pros and cons. For instance, the accident rate increases due to a rise in the number of vehicles and changes in weather conditions.
K. P. Risha +4 more
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Provably Convergent Low‐Rank Grayscale Image Fusion via Adaptive Weighted Nuclear Norm Minimization
International Journal of Mathematics and Mathematical Sciences, Volume 2026, Issue 1, 2026.We propose a fully unsupervised, convex, and globally convergent framework for multimodal grayscale image fusion based on adaptive weighted nuclear norm minimization (WNNM). By formulating the fusion task as a low‐rank matrix recovery problem with data‐driven singular value reweighting, the method automatically preserves salient structural features ...
Gargi Trivedi, Muhammad Ahsan
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Multispectral image pansharpening based on the contourlet transform
Journal of Physics: Conference Series, 2010 Pansharpening is a technique that fuses the information of a low-resolution multispectral image and a high-resolution panchromatic image, usually remote sensing images, to provide a high-resolution multispectral image. In the literature, this task has been addressed from different points of view being one of the most popular wavelet-based algorithms ...
Israa Amro, Javier Mateos
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A Review of Hydrophobicity Measurement and Classification Methods for High‐Voltage Insulators
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.Hydrophobicity is a critical property influencing the performance and reliability of high‐voltage insulators, particularly nonceramic types, by mitigating surface contamination and reducing the risk of flashover. This paper presents a comprehensive review of hydrophobicity assessment techniques, spanning traditional laboratory‐based techniques ...
Christos Zachariades +4 more
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Engineering Reports, Volume 7, Issue 8, August 2025.Railway electrification systems indeed have unique challenges due to variable power demand and dynamic train operations. Power quality (PQ) monitoring for high‐speed trains (HSTs) is essential to guarantee the effectual and unfailing operation of the ESs.
Pampa Sinha +6 more
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A Spatiotemporal Scheme for Process Control Using Image Analysis of Speckle Patterns
Quality and Reliability Engineering International, Volume 41, Issue 5, Page 1773-1788, July 2025.ABSTRACT Conventional image‐based process control schemes require distinct, detectable features (e.g., edges or textures). In the absence of such features, current methods fail or require additional preprocessing. They are also prone to false detections from random noise, dirt, or scratches on the surface.
Hamed Sabahno, Davood Khodadad
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Multispectral image fusion technique based on decoupling of information
IET Image Processing, Volume 19, Issue 1, January/December 2025.A multispectral image fusion method based on information decoupling is proposed to address the issue of unremarkable targets and the serious loss of background details. In accordance with the U‐shaped network structure, multi‐scale feature fusion is employed to obtain comprehensive contextual features.
Wenqi Yu +3 more
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