Results 31 to 40 of about 1,159 (170)
Case Studies in Thermal Engineering, 2020 In order to analyze the flow and heat transfer coupling rules of oil-gas two-phase fluid in clearance of single screw compressor, the fuzzy curvelet finite element model is constructed based on fuzzy theory, curvelet transform and finite element method ...
Bin Zhao +3 more
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Wavelets and curvelets transform for image denoising to damage identification of thin plate
Results in Engineering, 2023 As a common structural form, thin plates are widely used in civil engineering. Since the thin plate needs to face harsh work conditions, the damage inevitably to be accumulated, thus affecting the stability and safety of the application components ...
Deng Yulong +7 more
doaj +1 more source
Optical Flow Estimation Based on Curvelet Transform and Spatio-temporal Derivatives [PDF]
Engineering and Technology Journal, 2010 Optical flow estimation is still one of the key problems in computer vision.When estimating the displacement field between two images, it is applied as soonas correspondences between pixels are needed.
Atheer A. Sabri
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Face Recognition Using Curvelet Transform
, 2010 This paper presents a new method for the problem of human face recognition from still images. This is based on a multiresolution analysis tool called Digital Curvelet Transform. Curvelet transform has better directional and edge representation abilities than wavelets.
Hejazi, Hana, Alhanjouri, Mohammed A.
openaire +2 more sources
Curvelet Based Feature Extraction [PDF]
, 2010 In this chapter, newly developed curvelet transform has been presented as a new tool for feature extraction from facial images. Various algorithms are discussed along with relevant experimental results as reported in some recent works on face recognition.
Guha, Tanaya, Wu, Q. M. Jonathan
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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 +4 more
wiley +1 more source
Seismic Deconvolution Revisited with Curvelet Frames [PDF]
67th EAGE Conference & Exhibition, 2005 We propose an efficient iterative curvelet-regularized deconvolution algorithm that exploits continuity along reflectors in seismic images. Curvelets are a new multiscale transform that provides sparse representations for images (such as seismic images) that comprise smooth objects separated by piece-wise smooth discontinuities.
Hennenfent, Gilles +2 more
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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
International Journal of Biomedical Imaging, 2011 The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying region of interest (ROI) in medical images which are obtained from different medical scanners such as PET, CT, or MRI ...
Shadi AlZubi, Naveed Islam, Maysam Abbod
doaj +1 more source
Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning
Advanced Energy and Sustainability Research, Volume 6, Issue 11, November 2025.Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio +2 more
wiley +1 more source