Results 201 to 210 of about 3,242 (211)

Texture Classification Using Discrete Shearlet Transform

International Journal of Scientific Research, 2012
In this paper, an efficient approach for texture classification system based on Discrete Shearlet Transform (DST) is proposed. The classification of texture is achieved by extracting block based energy form the shearlet decomposed image. First, the texture image is decomposed by 2-level DST with 2-direction.
M. Kanchana M. Kanchana, Dr. P. Varalakshmi Dr. P. Varalakshmi   +1 more
openaire   +1 more source

3-D Discrete Shearlet Transform and Video Processing

IEEE Transactions on Image Processing, 2012
In this paper, we introduce a digital implementation of the 3-D shearlet transform and illustrate its application to problems of video denoising and enhancement. The shearlet representation is a multiscale pyramid of well-localized waveforms defined at various locations and orientations, which was introduced to overcome the limitations of traditional ...
Pooran Singh, Negi, Demetrio, Labate
openaire   +2 more sources

Uncertainty Principles For The Continuous Quaternion Shearlet Transform

Advances in Applied Clifford Algebras, 2019
In this paper, authors have studied some novel uncertainty principles for the continuous quaternion shearlet transform using the machinery of quaternion convolution, quaternion Fourier transform and operator theory. Besides, the fundamental properties including the Parseval's and reconstruction formulae, the Heisenberg-type uncertainty principles are ...
Brahim, Kamel, Nefzi, Bochra, Tefjeni, Emna   +2 more
openaire   +2 more sources

COORBIT SPACE THEORY FOR THE TOEPLITZ SHEARLET TRANSFORM

International Journal of Wavelets, Multiresolution and Information Processing, 2012
In this paper we are concerned with the continuous shearlet transform in arbitrary space dimensions where the shear operation is of Toeplitz type. In particular, we focus on the construction of associated shearlet coorbit spaces and on atomic decompositions and Banach frames for these spaces.
Dahlke, Stephan, Häuser, Sören, Teschke, Gerd   +2 more
openaire   +2 more sources

Video saliency detection using 3D shearlet transform

Multimedia Tools and Applications, 2015
Recently, visual saliency detection has received great interest. As most video saliency detection models are based on spatiotemporal mechanism, we firstly give a simple introduction of it in this paper. After discussing issues to be addressed, we present a novel framework for video saliency detection based on 3D discrete shearlet transform.
Lei Bao, Xiongwei Zhang, Yunfei Zheng, Yang Li   +3 more
openaire   +1 more source

Texture classification using Shearlet transform and GLCM

2017 Iranian Conference on Electrical Engineering (ICEE), 2017
Texture is one of the most important and effective element in image recognition and image processing. There are a lot of procedures in texture classification, recent researches are based on different transforms such as Ripplet transform. In this paper textured images are classified using Shearlet transform.
Khatere Meshkini, Hassan Ghassemian
openaire   +1 more source

Hyperspectral image classification using nonsubsampled shearlet transform

Image and Signal Processing for Remote Sensing XXIII, 2017
In this paper a new supervised classification method for hyperspectral image is introduced. In the proposed method first, 2D non-subsampled shearlet transform is applied to each spectral band of hyperspectral images. After that, minimum noise fraction transform reduces the dimension of shearlet coefficient sub-bands. Finally, the support vector machine
Mohamad Reza Soleimanzadeh, Azam Karami
openaire   +1 more source

Spectral analysis via higher-dimensional shearlet transform

Journal of Pseudo-Differential Operators and Applications
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mejjaoli, Hatem, Nefzi, Bochra
openaire   +2 more sources

Texture Classification Using Shearlet Transform Energy Features

2016
This paper presents a novel approach for texture classification using Shearlet Transform. The Shearlet Transform is a recently developed tool, which have the multiscale framework which allows to efficiently encode anisotropic features in multivariate problem classes.
K. Gopala Krishnan, P. T. Vanathi, R. Abinaya   +2 more
openaire   +1 more source

Retinal Image Quality Assessment Using Shearlet Transform

2015
In the context of eye-related diseases such as diabetic retinopathy (DR), retinal image quality assessment is used for evaluating the quality of an image based on its usefulness in detecting a certain condition or disease. Since poor quality retinal images make the detection process more difficult, it is necessary to assess the quality of retinal ...
E. Imani, H. R. Pourreza, T. Banaee
openaire   +1 more source