Results 41 to 50 of about 762,837 (162)

A novel feature descriptor based on the shearlet transform [PDF]

open access: yes2011 18th IEEE International Conference on Image Processing, 2011
Problems such as image classification, object detection and recognition rely on low-level feature descriptors to represent visual information. Several feature extraction methods have been proposed, including the Histograms of Oriented Gradients (HOG), which captures edge information by analyzing the distribution of intensity gradients and their ...
William Robson Schwartz   +3 more
openaire   +1 more source

Apply hyperanalytic shearlet transform to geometric separation [PDF]

open access: yesEURASIP Journal on Advances in Signal Processing, 2014
This paper first proposes a novel image separation method based on the hyperanalytic shearlet. By combining the advantages of both the hyperanalytic wavelet transform and the shear operation, hyperanalytic shearlet is easy to implement and also has a low redundancy.
Shuaiqi Liu 0001   +4 more
openaire   +1 more source

Space–Time Signal Analysis and the 3D Shearlet Transform [PDF]

open access: yesJournal of Mathematical Imaging and Vision, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Damiano Malafronte   +2 more
openaire   +4 more sources

Shearlet transform and convolutional neural network for histopathology images in breast cancer classification [PDF]

open access: yes
Breast cancer stands out as one of the global health threats, as it may cause death if improperly treated. Thus, detecting the illness at the early stage through precise diagnosis is important to prevent progression of tumors with effective treatments ...
Bakar, M. A. A.   +5 more
core   +1 more source

Three-dimensional OCT Compressed Sensing using the shearlet transform under continuous trajectories sampling

open access: yesInformatics in Medicine Unlocked, 2020
Background: Optical Coherence Tomography (OCT) is an emerging medical imaging technology. It is well suited to various medical applications requiring tissue imaging with micrometer resolution and millimeter penetration depth such as in ophthalmology and ...
Bassel Haydar   +3 more
doaj   +1 more source

Video text localization using wavelet and shearlet transforms [PDF]

open access: yesSPIE Proceedings, 2013
Text in video is useful and important in indexing and retrieving the video documents efficiently and accurately. In this paper, we present a new method of text detection using a combined dictionary consisting of wavelets and a recently introduced transform called shearlets.
Purnendu Banerjee, Bidyut B. Chaudhuri
openaire   +2 more sources

Γ-convergence of a shearlet-based Ginzburg–Landau energy [PDF]

open access: yes, 2019
We introduce two shearlet-based Ginzburg–Landau energies, based on the continuous and the discrete shearlet transform. The energies result from replacing the elastic energy term of a classical Ginzburg–Landau energy by the weighted -norm of a shearlet ...

core   +1 more source

Bendlets: A second-order shearlet transform with bent elements [PDF]

open access: yesApplied and Computational Harmonic Analysis, 2019
We introduce bendlets, a shearlet-like system that is based on anisotropic scaling, translation, shearing, and bending of a compactly supported generator. With shearing being linear and bending quadratic in spatial coordinates, bendlets provide what we term a second-order shearlet system.
Lessig, Christian   +2 more
openaire   +2 more sources

Multi-Threshold Image Denoising Based on Shearlet Transform

open access: yes, 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
core   +1 more source

A Joint Framework for Seismic Signal Denoising Using Total Generalized Variation and Shearlet Transform

open access: yesIEEE Access, 2021
Seismic exploration is a remote-sensing tool applied in a great many projects for engineering and resource-exploration purposes. Random noise suppression is one of the key steps in seismic-signal processing, especially those with important details and ...
Xiannan Wang, Jian Zhang, Hao Cheng
doaj   +1 more source

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