Results 181 to 190 of about 5,473 (223)
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IEEE Transactions on Instrumentation and Measurement, 2020
Multimodal medical image sensor fusion (MMISF) has a significant role for better visualization of the diagnostic statistics computed by integrating the vital information taken from input source images acquired using multimodal imaging sensors.
Sneha Singh, R. Anand
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Multimodal medical image sensor fusion (MMISF) has a significant role for better visualization of the diagnostic statistics computed by integrating the vital information taken from input source images acquired using multimodal imaging sensors.
Sneha Singh, R. Anand
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Shearlet Features for Pedestrian Detection
Journal of Mathematical Imaging and Vision, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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International Conference on Sciences of Electronics, Technologies of Information and Telecommunications, 2022
Alzheimer’s disease (AD) is the most common cause of neurodegenerative dementia in the elderly population. Several researchers have developed numerous methods for AD stage classification based on machine learning and deep learning over the last few ...
Meriem Saim, A. Feroui
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Alzheimer’s disease (AD) is the most common cause of neurodegenerative dementia in the elderly population. Several researchers have developed numerous methods for AD stage classification based on machine learning and deep learning over the last few ...
Meriem Saim, A. Feroui
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DCA-Enhanced Alzheimer's detection with shearlet and deep learning integration
Comput. Biol. MedicineAlzheimer's dementia (AD) is a neurodegenerative disorder that affects the central nervous system, causing the cells to stop working or die. The quality of life for individuals with AD steadily declines over time.
Sadiq Alinsaif
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Shearlets and their applications
AIP Conference Proceedings, 2012Shearlets were introduced as means to sparsely encode anisotropic singularities of multivariate data while providing a unified treatment of the continuous and digital realm. In this chapter, recent results on compactly supported shearlet systems will be presented, in particular, showing that these shearlet frames provide optimally sparse approximations
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Shearlets as Multi-scale Radon Transforms
Sampling Theory in Signal and Image Processing, 2017It is shown that the 2D-shearlet transform is the composition of the affine Radon transform, a 1D-wavelet transform and a 1D-convolution. This is applied to give an alternative proof of the fact that the shearlet transform is able to resolve the wavefront set associated with the unit disc.
BARTOLUCCI, FRANCESCA +3 more
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The Discrete Shearlet Transform: A New Directional Transform and Compactly Supported Shearlet Frames
IEEE Transactions on Image Processing, 2010It is now widely acknowledged that analyzing the intrinsic geometrical features of the underlying image is essential in many applications including image processing. In order to achieve this, several directional image representation schemes have been proposed.
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Oberwolfach Reports, 2011
Over the last 20 years, multiscale methods and wavelets have revolutionized the field of applied mathematics by providing an efficient means for encoding isotropic phenomena. Directional multiscale systems, particularly shearlets, are now having the same dramatic impact on the encoding of multivariate signals.
Gitta Kutyniok, Demetrio Labate
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Over the last 20 years, multiscale methods and wavelets have revolutionized the field of applied mathematics by providing an efficient means for encoding isotropic phenomena. Directional multiscale systems, particularly shearlets, are now having the same dramatic impact on the encoding of multivariate signals.
Gitta Kutyniok, Demetrio Labate
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A Shearlet Approach to Edge Analysis and Detection
IEEE Transactions on Image Processing, 2009It is well known that the wavelet transform provides a very effective framework for analysis of multiscale edges. In this paper, we propose a novel approach based on the shearlet transform: a multiscale directional transform with a greater ability to localize distributed discontinuities such as edges.
Sheng Yi +3 more
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2015
In this chapter, we will provide a comprehensive overview of shearlet coorbit theory. We will present an almost self-contained introduction into coorbit theory which is the basis for all our investigations. We also discuss the group theoretical background of the continuous shearlet transform, and we explain how the shearlet transform can be combined ...
Stephan Dahlke +3 more
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In this chapter, we will provide a comprehensive overview of shearlet coorbit theory. We will present an almost self-contained introduction into coorbit theory which is the basis for all our investigations. We also discuss the group theoretical background of the continuous shearlet transform, and we explain how the shearlet transform can be combined ...
Stephan Dahlke +3 more
openaire +1 more source