Results 31 to 40 of about 4,434 (214)
Review of surface defect detection of steel products based on machine vision
IET Image Processing, Volume 17, Issue 2, Page 303-322, 7 February 2023., 2023 Abstract Steel plays an important role in industry, and the surface defect detection for steel products based on machine vision has been widely used during the last two decades. This paper attempts to review state‐of‐art of vision‐based surface defect inspection technology of steel products by investigating about 170 publications.
Bo Tang +3 more
wiley +1 more source
Homogeneous approximation property for continuous shearlet transforms in higher dimensions
Journal of Inequalities and Applications, 2016 This paper is concerned with the generalization of the homogeneous approximation property (HAP) for a continuous shearlet transform to higher dimensions. First, we give a pointwise convergence result on the inverse shearlet transform in higher dimensions.
Yu Su, Wanchang Zhang, Wenting Su
doaj +1 more source
Quaternionic shearlet transform [PDF]
Optik, 2018 Abstract The shearlet transform has been shown to be a valuable and powerful time–frequency analyzing tool for optics and non-stationary signal processing. In this article, we propose a novel transform called quaternionic shearlet transform which is designed to represent quaternion-valued signals at different scales, locations and orientations.
Azhar Y. Tantary, Firdous A. Shah
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An unsupervised multi‐focus image fusion method based on Transformer and U‐Net
IET Image Processing, Volume 17, Issue 3, Page 733-746, 28 February 2023., 2023 Abstract This work presents a multi‐focus image fusion method based on Transformer and U‐Net with an unsupervised training fashion. In this work, the authors introduce Transformer into image fusion because it has great ability to capture the global dependencies and low‐frequency features. In image processing, convolutional neural network (CNN) has good
Xin Jin +5 more
wiley +1 more source
IEEE Access, 2017 Sparsity is one of the key concepts that allows the signal recovery at a significantly lower subsample rate than required by the Nyquist-Shannon sampling theorem.
Guomin Sun, Jinsong Leng, Tingzhu Huang
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Shearlets on Bounded Domains [PDF]
, 2011 Shearlet systems have so far been only considered as a means to analyze $L^2$-functions defined on $\R^2$, which exhibit curvilinear singularities. However, in applications such as image processing or numerical solvers of partial differential equations the function to be analyzed or efficiently encoded is typically defined on a non-rectangular shaped ...
Gitta Kutyniok, Wang-Q Lim
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A Breast Cancer Image Classification Algorithm with 2c Multiclass Support Vector Machine
Journal of Healthcare Engineering, Volume 2023, Issue 1, 2023., 2023 Breast cancer is the most frequent type of cancer in women; however, early identification has reduced the mortality rate associated with the condition. Studies have demonstrated that the earlier this sickness is detected by mammography, the lower the death rate.
Mohammed Abdul Wajeed +7 more
wiley +1 more source
Variational Multiscale Nonparametric Regression: Algorithms and Implementation
Algorithms, 2020 Many modern statistically efficient methods come with tremendous computational challenges, often leading to large-scale optimisation problems. In this work, we examine such computational issues for recently developed estimation methods in nonparametric ...
Miguel del Alamo +3 more
doaj +1 more source
Mine Microseismic Signal Denoising Based on a Deep Convolutional Autoencoder
Shock and Vibration, Volume 2023, Issue 1, 2023., 2023 Mine microseismic signal denoising is a basic and crucial link in microseismic data processing, which influences the accuracy and reliability of the monitoring system, and is of great significance with regard to safety during mining. Therefore, this study introduces a deep learning method to improve the mapping function and sparsity of signals in the ...
Ting Hu +6 more
wiley +1 more source
Infrared and visible image fusion for ship targets based on scale‐aware feature decomposition
IET Image Processing, Volume 16, Issue 14, Page 3977-3987, 11 December 2022., 2022 Abstract Infrared (IR) and visible (VI) image fusion play an important role in improving the sea scene perception and ship target detection. Although there have been many studies on image fusion considering the sea scene characteristics, there has still been no adequate extraction method for detailed information of a ship target in a sea scene.
Xin Zheng, Di Kang, Pengbo Si, Qiang Wu
wiley +1 more source