Results 121 to 130 of about 1,190 (173)

Enhancing U-Net for image denoising with bilateral filter noise residue and gradient estimation (BIRUNet). [PDF]

Sci Rep
Soniya S, Sriharipriya KC, Clement JC, Subramaniam U.   +3 more
europepmc   +1 more source

Fibre tracing in biomedical images: An objective comparison between seven algorithms. [PDF]

PLoS One
Arafat Y, Cuesta-Apausa C, Castellano E, Reyes-Aldasoro CC.   +3 more
europepmc   +1 more source

From Machine Learning to Ensemble Approaches: A Systematic Review of Mammogram Classification Methods. [PDF]

Diagnostics (Basel)
Fajrin HR, Min SD.
europepmc   +1 more source

Deep Kronecker LeNet for human motion classification with feature extraction. [PDF]

Sci Rep
Pardhu T, Kumar V, Durbhakula KC.
europepmc   +1 more source

Optical characterization of ocular collagen microstructure and anisotropy in animal and human eyes. [PDF]

Biomed Opt Express
Lin Z, Li H, Zeng Z, Wang Y, Hu R, Qu J, Liu L, Shen B.   +7 more
europepmc   +1 more source

An Underwater Polarization Image Fusion Algorithm Based on Information Entropy and a Hierarchical-Adaptive Fusion Framework. [PDF]

Sensors (Basel)
Wang F, He W, Ye S, Ma A, Zhou X, Guo Z, Wang J, Zhou L, Lin Y.   +8 more
europepmc   +1 more source

Computationally Enabled Polychromatic Polarized Imaging Enables Mapping of Matrix Architectures that Promote Pancreatic Ductal Adenocarcinoma Dissemination. [PDF]

Am J Pathol
Qian G, Zhang H, Liu Y, Shribak M, Eliceiri KW, Provenzano PP.   +5 more
europepmc   +1 more source

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Multiscale Curvelet Scattering Network

IEEE Transactions on Neural Networks and Learning Systems, 2023
Feature representation has received more and more attention in image classification. Existing methods always directly extract features via convolutional neural networks (CNNs). Recent studies have shown the potential of CNNs when dealing with images' edges and textures, and some methods have been explored to further improve the representation process ...
Jie Gao 0013, Licheng Jiao, Fang Liu 0001, Shuyuan Yang 0001, Biao Hou, Xu Liu 0006   +5 more
openaire   +3 more sources

Curvelet transform on the sphere

IEEE International Conference on Image Processing 2005, 2005
Spherical maps occur in a range of applications for instance in geophysics or in astrophysics with the study of the cosmic microwave background (CMB) radiation field, where observations are over the whole sky. Analyzing these images requires specific tools.
Pierrick Abrial, Jean-Luc Starck, Yassir Moudden, Maï K. Nguyen   +3 more
openaire   +3 more sources

Curvelet transform with adaptive tiling

SPIE Proceedings, 2012
The curvelet transform is a recently introduced non-adaptive multi-scale transform that have gained popularity in the image processing field. In this paper, we study the effect of customized tiling of frequency content in the curvelet transform. Specifically, we investigate the effect of the size of the coarsest level and its relationship to denoising ...
Hasan Al-Marzouqi, Ghassan AlRegib
openaire   +2 more sources