Results 1 to 10 of about 1,628 (189)
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
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 Mohan Srivastava +2 more
exaly +3 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
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
Wavelets, ridgelets and curvelets on the sphere [PDF]
Astronomy & Astrophysics, 2005 We present in this paper new multiscale transforms on the sphere, namely the isotropic undecimated wavelet transform, the pyramidal wavelet transform, the ridgelet transform and the curvelet transform. All of these transforms can be inverted i.e.
Aghanim +33 more
core +5 more sources
Compressed Adaptive-Sampling-Rate Image Sensing Based on Overcomplete Dictionary [PDF]
EntropyIn this paper, a compressed adaptive image-sensing method based on an overcomplete ridgelet dictionary is proposed. Some low-complexity operations are designed to distinguish between smooth blocks and texture blocks in the compressed domain, and adaptive
Jianming Wang +3 more
doaj +2 more sources
, 2009 International audienceDespite the fact that wavelets have had a wide impact in image processing, they fail to efficiently represent objects with highly anisotropic elements such as lines or curvilinear structures (e.g. edges). The reason is that wavelets
Fadili, Jalal M., Starck, Jean-Luc
core +5 more sources
Ridgelets and the representation of mutilated Sobolev functions [PDF]
SIAM Journal on Mathematical Analysis, 2001 We show that ridgelets, a system introduced in [E. J. Candes, Appl. Comput. Harmon. Anal., 6(1999), pp. 197–218], are optimal to represent smooth multivariate functions that may exhibit linear singularities.
Candès, Emmanuel J.
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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
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