Results 181 to 190 of about 1,095 (204)

Discrete linear canonical shearlet transform

International Journal of Wavelets, Multiresolution and Information Processing
In this paper, we introduce the continuous and discrete version of the linear canonical shearlet transform (LCST). The authors begin with the definition of the LCST and then establish a relationship between the linear canonical transform (LCT) and the LCST.
Younis Ahmad Bhat, Neyaz A. Sheikh
openaire   +2 more sources

A saliency detection model using shearlet transform

Multimedia Tools and Applications, 2014
Visual attention is a mechanism to derive possible locations of objects or regions from natural scenes, and many studies have tried to simulate this mechanism to build saliency detection models, which would accelerate the course of many applications, such as object location, detection and recognition, image segmentation, retrieval and so on.
Lei Bao, Jianjiang Lu, Yang Li 0015, Yanwei Shi   +3 more
openaire   +1 more source

The Radon transform intertwines wavelets and shearlets

Applied and Computational Harmonic Analysis, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bartolucci, Francesca, De Mari, Filippo, De Vito, Ernesto, Odone, Francesca   +3 more
openaire   +1 more source

Electroencephalogram signal classification based on shearlet and contourlet transforms

Expert Systems with Applications, 2017
Detection of epilepsy patterns in EEG signals with high accuracy.Development of a novel methodology based on curvelet and shearlet transforms.Extraction of a set of discriminative characteristics from the signals.Evaluation on a public data set.Results superior/comparable to the literature.
Paulo H. J. Amorim, Thiago F. Moraes, Dalton Ieda Fazanaro, Jorge Silva 0001, Hélio Pedrini   +4 more
openaire   +1 more source

A Microscopic Image Classification Method Using Shearlet Transform

2013 IEEE International Conference on Healthcare Informatics, 2013
This paper presents a method for representation and classification of microscopic tissue images using the shear let transform. The objective is to automatically process biopsy tissue images and assist pathologists in analyzing carcinoma cells, e.g. differentiating between benign and malignant cells in breast tissues.
Hadi Rezaeilouyeh, Mohammad H. Mahoor, Seyed Mohammad Mavadati, Jun Jason Zhang   +3 more
openaire   +1 more source

Multi-focus Image Fusion by Nonsubsampled Shearlet Transform

2011 Sixth International Conference on Image and Graphics, 2011
In this paper we introduce the nonsubsampled shear let transform for multi-focus image fusion. In the proposed method, source images are decomposed by nonsubsampled shear let transform firstly. Then the decomposition coefficients are merged according to the given fusion rule.
Yuan Cao 0001, Shutao Li 0001, Jianwen Hu   +2 more
openaire   +1 more source

On Heisenberg and local uncertainty principles for the multivariate continuous quaternion Shearlet transform

Journal of Pseudo-Differential Operators and Applications, 2022
Bochra Nefzi, Kamel Brahim
exaly  

A non-subsampled Shearlet transform based approach for heartbeat sound watermarking

Biomedical Signal Processing and Control, 2022
Mohamed Redouane Kafi, Amine Khaldi
exaly  

Comparison of Wavelet and Shearlet Transforms for Medical Images

Applied Mathematics & Information Sciences, 2016
Sevindir, HÜLYA, YAZICI, CÜNEYT
openaire   +3 more sources

Noise suppression for microseismic data by non‐subsampled shearlet transform based on singular value decomposition

Geophysical Prospecting, 2018
Xiaoqiang Liang, Yue Li
exaly