An Interplay of Ridgelet and Linear Canonical Transforms
Mathematics, 2022 The present study is the first of its kind, aiming to explore the interface between the ridgelet and linear canonical transforms. To begin with, we formulate a family of linear canonical ridgelet waveforms by suitably chirping a one-dimensional wavelet ...
Hari M. Srivastava +3 more
doaj +4 more sources
Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform [PDF]
Scientific Reports, 2023 The detection of meningioma tumors is the most crucial task compared with other tumors because of their lower pixel intensity. Modern medical platforms require a fully automated system for meningioma detection.
B. V. Prakash +8 more
doaj +2 more sources
Local-Ternary-Pattern-Based Associated Histogram Equalization Technique for Cervical Cancer Detection [PDF]
Diagnostics, 2023 Every year, cervical cancer is a leading cause of mortality in women all over the world. This cancer can be cured if it is detected early and patients are treated promptly.
Saravanan Srinivasan +5 more
doaj +2 more sources
Scale-discretised ridgelet transform on the sphere [PDF]
CoRR, 2019 We revisit the spherical Radon transform, also called the Funk-Radon transform, viewing it as an axisymmetric convolution on the sphere. Viewing the spherical Radon transform in this manner leads to a straightforward derivation of its spherical harmonic ...
candes +12 more
core +5 more sources
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier [PDF]
PeerJ Computer Science, 2021 Diabetes is one of the most prevalent diseases in the world, which is a metabolic disorder characterized by high blood sugar. Diabetes complications are leading to Diabetic Retinopathy (DR).
Lakshmana Kumar Ramasamy +3 more
doaj +3 more sources
The ridgelet transform and quasiasymptotic behavior of distributions [PDF]
, 2015 We characterize the quasiasymptotic behavior of distributions in terms of a Tauberian theorem for ridgelet transforms.Comment: 13 ...
Kostadinova, Sanja +3 more
core +3 more sources
Multivariable passive method for detection of islanding events in renewable energy based power grids
IET Renewable Power Generation, 2022 Penetration of distributed generation resources (DGR) in power grid is rapidly increasing to meet future energy demand efficiently. It helps in mitigating the problems of high carbon emission, green house effect, and increased cost of oil and natural ...
Nagendra Kumar Swarnkar +3 more
doaj +2 more sources
Discrete analytical Ridgelet transform [PDF]
Signal Processing, 2004 In this paper, we present a new implementation of the Ridgelet transform based on discrete analytical 2-D lines: the discrete analytical Ridgelet transform (DART). This transform uses the Fourier strategy for the computation of the associated discrete Radon transform.
Carré, Philippe, Andres, Eric
exaly +2 more sources
Image denoising method integrating ridgelet transform and improved wavelet threshold. [PDF]
PLoS ONEIn the field of image processing, common noise types include Gaussian noise, salt and pepper noise, speckle noise, uniform noise and pulse noise. Different types of noise require different denoising algorithms and techniques to maintain image quality and
Bingbing Li, Yao Cong, Hongwei Mo
doaj +2 more sources
Improving the Method of Short-term Forecasting of Electric Load in Distribution Networks using Wavelet transform combined with Ridgelet Neural Network Optimized by Self-adapted Kho-Kho Optimization Algorithm [PDF]
HeliyonThis paper proposes a new method for short-term electric load forecasting using a Ridgelet Neural Network (RNN) combined with a wavelet transform and optimized by a Self-Adapted (SA) Kho-Kho algorithm (SAKhoKho).
Yaoying Wang +3 more
doaj +2 more sources