Results 101 to 110 of about 3,713 (248)
Deep learning‐based methods for detecting defects in cast iron parts and surfaces
IET Image Processing, Volume 18, Issue 1, Page 47-58, 10 January 2024.First, this article used multiple data augmentation methods to alleviate the problem of small sample size in casting datasets. Second, attention mechanism was introduced. Finally, a novel feature fusion layer structure was adopted to improve the original network model.
Pengyu Wang, Peng Jing
wiley +1 more source
Continuous Shearlet Tight Frames [PDF]
, 2018 Based on the shearlet transform we present a general construction of continuous tight frames for L 2(ℝ2) from any sufficiently smooth function with anisotropic moments.
Grohs, Philipp
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Shearlet Transform and the Application in Image Processing
, 2022 Shearlet is a multi-dimensional function used for sparse representation, which has many excellent characteristics such as multi-resolution and multi-direction.
Cattani P. +3 more
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mBCCf: Multilevel Breast Cancer Classification Framework Using Radiomic Features
International Journal of Intelligent Systems, Volume 2024, Issue 1, 2024.Breast cancer characterization remains a significant and challenging issue in contemporary medicine. Accurately distinguishing between malignant and benign breast lesions is crucial for effective diagnosis and treatment. The anatomical structure of malignant breast ultrasound images is more chaotic than that of benign images due to disease pathologies.
Lipismita Panigrahi +6 more
wiley +1 more source
Sparse Regularization Based on Orthogonal Tensor Dictionary Learning for Inverse Problems
Mathematical Problems in Engineering, Volume 2024, Issue 1, 2024.In seismic data processing, data recovery including reconstruction of the missing trace and removal of noise from the recorded data are the key steps in improving the signal‐to‐noise ratio (SNR). The reconstruction of seismic data and removal of noise becomes a sparse optimization problem that can be solved by using sparse regularization.
Diriba Gemechu, Francisco Rossomando
wiley +1 more source
Frontiers in Remote SensingSatellite image analysis is essential for remote sensing analysis. Two types of data are captured via satellite: Synthetic Aperture Radar (SAR) imagery (which has structure) and multispectral imagery (which contains spectral information), so ...
Sai Bhargav Kasetty, Rajakumar Krishnan
doaj +1 more source
Radon transform inversion using the shearlet representation
, 2010 The inversion of the Radon transform is a classical ill-posed inverse problem where some method of regularization must be applied in order to accurately recover the objects of interest from the observable data. A well-known consequence of the traditional
Labate, Demetrio +3 more
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Blind Image Watermark Detection Algorithm Based on Discrete Shearlet Transform Using Statistical Decision Theory [PDF]
, 2018 Blind watermarking targets the challenging recovery of the watermark when the host is not available during the detection stage. This paper proposes Discrete Shearlet Transform (DST) as a new embedding domain for blind image watermarking.
Kurugollu, Fatih +8 more
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Multi-Threshold Image Denoising Based on Shearlet Transform
, 2010 Shearlet is a new effective signal representation tool in many image applications. A novel image denoising scheme based on Shearlet transform is proposed in this paper.
Jia Zhao, Hui Sun, Li Lü
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Shearlet Dönüşümü ile Medikal Görüntülerde Gürültü Giderme
, 2018 Dalgacık dönüşümü, tıbbi gürültü giderme uygulamalarında yaygın olarak kullanılmasına rağmen, son yıllarda farklı çoklu çözünürlük analizi yöntemleri tercih edilmektedir.
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