Results 31 to 40 of about 4,760 (175)

Separating the scattered wavefield from teleseismic P using curvelets on the long beach array data set

Geophysical Journal International, 2018
A dense seismic array, composed of over 5000 stations with an average spacing close to 120 m was deployed in Long Beach, CA, by NodalSeismic and Signal Hill Petroleum as part of a survey associated with the Long Beach oilfield.
Jia Zhang, C. Langston
semanticscholar   +1 more source

Fast Discrete Curvelet Transforms [PDF]

Multiscale Modeling & Simulation, 2006
This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform in two and three dimensions. The first digital transformation is based on unequally spaced fast Fourier transforms, while the second is based on the wrapping of specially selected Fourier samples.
Candès, Emmanuel, Demanet, Laurent, Donoho, David, Ying, Lexing   +3 more
openaire   +2 more sources

Improved Reconstruction of MR Scanned Images by Using a Dictionary Learning Scheme

Sensors, 2019
The application of compressed sensing (CS) to biomedical imaging is sensational since it permits a rationally accurate reconstruction of images by exploiting the image sparsity.
Shahid Ikram, Jawad Ali Shah, Syed Zubair, Ijaz Mansoor Qureshi, Muhammad Bilal   +4 more
doaj   +1 more source

Fractional Active Contour Model with Adaptive Hessian Weighting for Mammogram Segmentation

Journal of Medical Signals and Sensors
Background: Accurate segmentation of breast masses in mammographic images is a crucial step in computer-aided diagnosis (CAD) systems. However, mammograms are often affected by noise, low contrast, weak boundaries, and intensity inhomogeneity, which ...
Ruhollah Motamedi, Nasser Aghazadeh, Mahdi Hashemzadeh, Parisa Noras   +3 more
doaj   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Optimized Hybrid Deep Learning‐Based FPGA Accelerators for Denoising of Ultrasound Breast Images

IET Circuits, Devices &Systems, Volume 2026, Issue 1, 2026.
This paper introduces a novel image‐denoising technique that integrates a hybrid deep learning (DL) model with a self‐improved orca predation (SOP) strategy. This hybrid model improves denoising performance by integrating a Convolutional Neural Network (CNN) with Bidirectional Long Short‐Term Memory (Bi‐LSTM).
K. Janaki, Usha Moorthy, K. Kausalya, R. Jennie Bharathi, Ahmed. M. Soliman   +4 more
wiley   +1 more source

Robust Facial Recognition Using Unified Optimised Feature Fusion and Selection of Handcrafted and Deep Learning Features

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
wiley   +1 more source

Smart Brain Tumor Segmentation and Classification Using Inception ResNet‐V2 and Eagle Eye Vision in IoMT

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Brain tumors develop due to the unregulated proliferation of nerve tissues. Nonetheless, despite progress in deep learning models for medical image analysis, the precise segmentation of tumor patches and categorization of tumor types remain unresolved.
A. Ashwini, Emmanvel Raj M. Chirchi, V. Sheeja Kumari, P. Gururama Senthilvel, Frie Ayalew, Pramita Mishra   +5 more
wiley   +1 more source

An Efficient Skin Cancer Diagnostic System Using Bendlet Transform and Support Vector Machine

Anais da Academia Brasileira de Ciências
Skin is the outermost and largest organ of the human body that protects us from the external agents. Among the various types of diseases affecting the skin, melanoma (skin cancer) is the most dangerous and deadliest disease.
POOVIZHI S, GANESH BABU TR
doaj   +1 more source

A Comprehensive Survey on Concrete Crack Detection

Shock and Vibration, Volume 2026, Issue 1, 2026.
Concrete structures form the backbone of modern civil infrastructures, yet they are inherently susceptible to cracking over time due to mechanical stress, environmental exposure, and aging. Undetected cracks can escalate into catastrophic structural failures, making timely inspection critical.
Md. Siam Ansary, José J. Rangel-Magdaleno   +1 more
wiley   +1 more source