Results 11 to 20 of about 89 (85)
Review of surface defect detection of steel products based on machine vision
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
In this paper, we introduce Gabor shearlets, a variant of shearlet systems, which are based on a different group representation than previous shearlet constructions: they combine elements from Gabor and wavelet frames in their construction. As a consequence, they can be implemented with standard filters from wavelet theory in combination with standard ...
Bodmann, Bernhard G.+2 more
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Quaternionic shearlet transform [PDF]
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
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
Shearlets on Bounded Domains [PDF]
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
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
Compactly Supported Shearlets [PDF]
24 pages, 7 figures, Conference Proceeding: Approximation Theory XIII (San Antonio, TX, 2010), Springer (to appear)
Gitta Kutyniok, Jakob Lemvig, Wang-Q Lim
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Mine Microseismic Signal Denoising Based on a Deep Convolutional Autoencoder
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
Introduction to Shearlets [PDF]
Shearlets emerged in recent years among the most successful frameworks for the efficient representation of multidimensional data. Indeed, after it was recognized that traditional multiscale methods are not very efficient at capturing edges and other anisotropic features which frequently dominate multidimensional phenomena, several methods were ...
Gitta Kutyniok, Demetrio Labate
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The Shearlet Transform and Lizorkin Spaces [PDF]
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Nenad Teofanov+2 more
openaire +3 more sources