Results 41 to 50 of about 5,665 (212)

Fibrillar Collagen Quantification With Curvelet Transform Based Computational Methods

open access: yesFrontiers in Bioengineering and Biotechnology, 2020
Quantification of fibrillar collagen organization has given new insight into the possible role of collagen topology in many diseases and has also identified candidate image-based bio-markers in breast cancer and pancreatic cancer. We have been developing
Yuming Liu   +14 more
semanticscholar   +1 more source

Classification of the fibronectin variants with curvelets [PDF]

open access: yes2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018
The role of the extracellular matrix (ECM) in the evolution of certain diseases (e.g. fibrosis, cancer) is generally accepted but yet to be completely understood. A numerical model that captures the physical properties of the ECM, could convey certain connections between the topology of its constituents and their associated biological features.
Grapa, Anca-Ioana   +7 more
openaire   +2 more sources

Curvelets and Fourier Integral Operators

open access: yesComptes Rendus. Mathématique, 2003
A recent body of work introduced new tight-frames of curvelets E. Candès, D. Donoho, in: (i) Curvelets – a suprisingly effective nonadaptive representation for objects with edges (A. Cohen, C. Rabut, L. Schumaker (Eds.)), Vanderbilt University Press, Nashville, 2000, pp. 105–120; (ii)
Candès, Emmanuel, Demanet, Laurent
openaire   +1 more source

Second-Generation Curvelets on the Sphere [PDF]

open access: yesIEEE Transactions on Signal Processing, 2017
Curvelets are efficient to represent highly anisotropic signal content, such as a local linear and curvilinear structure. First-generation curvelets on the sphere, however, suffered from blocking artefacts. We present a new second-generation curvelet transform, where scale-discretised curvelets are constructed directly on the sphere.
Jennifer Y. H. Chan   +3 more
openaire   +3 more sources

Flow and heat transfer coupling analysis of oil-gas two-phase fluid in clearance of single screw compressor based on fuzzy curvelet finite element method

open access: yesCase 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
doaj   +1 more source

Wavelets and curvelets transform for image denoising to damage identification of thin plate

open access: yesResults 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]

open access: yesEngineering 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
doaj   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features

open access: yesIEEE Transactions on Sustainable Computing, 2020
Automated diagnosis of pathological brain not only reduces the diagnostic error significantly but also improves the patient's quality of life, thereby addressing the sustainability issues.
D. Nayak   +4 more
semanticscholar   +1 more source

Curvelet Transform based Denoising of Multispectral Remote Sensing Images

open access: yesJournal of Physics, Conference Series, 2021
With the advent of sensor technology, the exertion of multispectral image (MSI) is comely omnipresent. Denoising is an essential quest in multispectral image processing which further improves recital of unmixing, classification and supplementary ensuing ...
P. Reddy   +2 more
semanticscholar   +1 more source

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