Results 31 to 40 of about 224 (152)

Computer Vision‐Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic‐Based Investigation Metaheuristic

open access: yesComplexity, Volume 2021, Issue 1, 2021., 2021
During the phase of periodic asphalt pavement survey, patched and unpatched potholes need to be accurately detected. This study proposes and verifies a computer vision‐based approach for automatically distinguishing patched and unpatched potholes. Using two‐dimensional images, patched and unpatched potholes may have similar shapes.
Nhat-Duc Hoang   +3 more
wiley   +1 more source

Blind Restoration of Motion Blurred Barcode Images using Ridgelet Transform and Radial Basis Function Neural Network

open access: yesELCVIA Electronic Letters on Computer Vision and Image Analysis, 2014
The aim of any image restoration techniques is recovering the original image from a degraded observation. One of the most common degradation phenomena in images is motion blur.
shamik tiwari
doaj   +1 more source

Localization Operators for Ridgelet Transforms [PDF]

open access: yesMathematical Modelling of Natural Phenomena, 2014
We prove that localization operators associated to ridgelet transforms with L p symbols are bounded linear operators on L 2 (Rn ). Operators closely related to these localization operators are shown to be in the trace class and a trace formula for them is given.
J. Li, M. W. Wong
openaire   +1 more source

The Ridgelet Transform and Quasiasymptotic Behavior of Distributions [PDF]

open access: yes, 2015
We characterize the quasiasymptotic behavior of distributions in terms of a Tauberian theorem for ridgelet transforms.
Kostadinova, Sanja   +3 more
openaire   +2 more sources

A Novel Optimized Semi-Blind Scheme for Color Image Watermarking

open access: yesIEEE Access, 2020
Image watermarking is a robust solution for solving key issues like copyright protection and proof of ownership of digital data. Existing schemes of image watermarking mostly used grayscale or binary images as embedded watermarks, while only a few ...
Adnan Mustafa Cheema   +2 more
doaj   +1 more source

Identification of Islanding Events in Utility Grid With Renewable Energy Penetration Using Current Based Passive Method

open access: yesIEEE Access, 2021
Renewable energy (RE) generation levels are increasing in modern power systems at a fast rate due to their advantages of clean and non-exhaustible nature of energy.
Nagendra Kumar Swarnkar   +3 more
doaj   +1 more source

Face recognition based on ridgelet transforms

open access: yesProcedia Computer Science, 2010
AbstractThis paper relates to a face recognition and verification technique based on ridgelet transforms. Our proposed method first uses the ridgelet transform of the face image for feature extraction. This involves first applying a sequen- tial combination of radon and wavelet transforms to both the training and test images.
Satyajit N. Kautkar   +5 more
openaire   +1 more source

Analysis of the Spatial Distribution of Galaxies by Multiscale Methods

open access: yesEURASIP Journal on Advances in Signal Processing, 2005
Galaxies are arranged in interconnected walls and filaments forming a cosmic web encompassing huge, nearly empty, regions between the structures. Many statistical methods have been proposed in the past in order to describe the galaxy distribution and ...
E. Saar   +5 more
doaj   +1 more source

Multiscale Transform and Shrinkage Thresholding Techniques for Medical Image Denoising – Performance Evaluation

open access: yesCybernetics and Information Technologies, 2020
Due to sparsity and multiresolution properties, Mutiscale transforms are gaining popularity in the field of medical image denoising. This paper empirically evaluates different Mutiscale transform approaches such as Wavelet, Bandelet, Ridgelet, Contourlet,
Nisha S. Shajun, Raja S. P.
doaj   +1 more source

Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation

open access: yesInternational Journal of Biomedical Imaging, 2011
The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying region of interest (ROI) in medical images which are obtained from different medical scanners such as PET, CT, or MRI ...
Shadi AlZubi, Naveed Islam, Maysam Abbod
doaj   +1 more source

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