A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Filters
Statistical and deterministic approaches for multimedia forensics
2016
ELCVIA Electronic Letters on Computer Vision and Image Analysis
Preserved Fulltext
the detection in one-dimensional data of a common data smoothing operation, the median filter. ...
Moreover, we have explored the possibility of defining and exploiting deterministic properties related to a certain processing operation in the forensic analysis, presenting a first approach targeted to ...
We propose a forensic technique able to detect the application of a median filter to 1D data [2] . ...
doi:10.5565/rev/elcvia.984
fatcat:gu2susje7za63hmzoiqrpasgp4
Implementation of Artifact Removal Algorithms in Gait Signals for Diagnosis of Parkinson Disease
2021
Traitement du signal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this study, a new approach is proposed for the diagnosis of PD. ...
Common Average Reference (CAR), Median Common Average Reference (MCAR), and Weighted Common Average Reference (WCAR) methods were primarily utilized to eliminate noise from the multichannel recorded walking ...
The authors of this article would like to thank the staff of MaVi Laboratory for their support. ...
doi:10.18280/ts.380306
fatcat:dndab7i22jh3ne6eqp37gp4n7i
Optical electrocardiogram based heart disease prediction using hybrid deep learning
2023
Journal of Big Data
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
Because using solely deep learning approaches failed to detect all of the important beats from the input ECG signal, a hybrid strategy is necessary to improve detection efficiency. ...
To efficiently classify data, we design a hybrid approach using a conventional ECG beats extraction algorithm and Convolutional Neural Network (CNN)-based features. ...
Acknowledgements I am grateful to all of those with whom I have had the pleasure to work during the completion of the entire experiment. ...
doi:10.1186/s40537-023-00820-6
fatcat:7sqkyxynenh7tiyshdzbcok7lu
Belief Propagation in a 3D Spatio-temporal MRF for Moving Object Detection
2007
2007 IEEE Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
In this paper we present a Belief Propagation approach for moving object detection using a 3D Markov Random Field (MRF) model. ...
This approach deals effectively with difficult moving object detection problems like objects camouflaged by similar appearance to the background, or objects with uniform color that frame difference methods ...
The median filter removes many isolated detected motion pixels resulting in an object mask that is too small. Gaussian filters are rotationally symmetric low pass filters. ...
doi:10.1109/cvpr.2007.383184
dblp:conf/cvpr/YinC07
fatcat:xhnvw76bivcbbfe2he6w3ag73y
Fault diagnosis of Tennessee Eastman process using signal geometry matching technique
2011
EURASIP Journal on Advances in Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This article employs adaptive rank-order morphological filter to develop a pattern classification algorithm for fault diagnosis in benchmark chemical process: Tennessee Eastman process. ...
Data fusion technique is also utilized to combine diagnostic results from multiple sources. ...
The authors also would like to appreciate the anonymous reviewers whose comments greatly enhanced the presentation and clarity of this paper. ...
doi:10.1186/1687-6180-2011-83
fatcat:4fxaqpscyjakbbfmfobmnexmdm
Colour and texture segmentation using wavelet frame analysis, deterministic relaxation, and fast marching algorithms
2004
Journal of Visual Communication and Image Representation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The first, a deterministic relaxation algorithm using a quadratic distance measure, yields the labelling of pixels to the different colour-texture classes. ...
Luminance, colour, and/or texture features may be used, either alone or in combination, for segmentation. ...
Averaging the distances provides a more reliable distance measure, and in the presence of region boundaries the median filter should be preferred over a linear filter. ...
doi:10.1016/s1047-3203(03)00025-7
fatcat:q3ac4bqzgfgijdbxvksv2qiwn4
Detection of Breast Cancer Using Histopathological Image Classification Dataset with Deep Learning Techniques
2022
BioMed Research International
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
So, it may serve as a second opinion tool for pathologists and aid in the early detection of diseases. ...
It created an automatic segmentation approach that is then followed by self-driven post-processing activities to successfully identify the Fourier Transform based Segmentation in the CAD system to improve ...
To smooth the pixels in the picture, use the median filter as follows: Median filtering is a nonlinear approach to removing noise from pictures that may be applied to any image. ...
doi:10.1155/2022/8363850
pmid:35281604
pmcid:PMC8913119
fatcat:hc3lp5tbdndedgw5wn75sfbgfe
Improved Post-Processing for Human Detection in Railroad Surveillance
2014
2014 International Conference on Service Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The accuracy of human detection in railroad surveillance is often limited due to occlusion and noise, causing incomplete objects in foreground masks. ...
In this work, we introduce a novel integration step into the post-processing module following FD. ...
[ 11 ] organized various shadow removal algorithms in a two-layer taxonomy, the layer of deterministic approaches and the layer of statistical approaches. ...
doi:10.1109/icss.2014.11
fatcat:upeqprhghzc75lq4pkoob4g5ka
A Review on Noise and Denoise of Biometric Images
2018
International Journal for Research in Applied Science and Engineering Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In digital image processing, lessening in the noise is an essential procedure to interpret, analyze & enhance the main facts in an image. Still Lessening of Noise is a demanding task. ...
In our work we mainly focused on denoising of biometric images such as MRI and USI images. ...
Cecilia Pasquini, et al. (2016) offers a technique which is able to recognize the usage of a median filter to 1D data. ...
doi:10.22214/ijraset.2018.3037
fatcat:3ycahz3dubhvbgd554logha7fy
Accurate Machine Learning Atmospheric Retrieval via a Neural Network Surrogate Model for Radiative Transfer
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2020 pre-print arXiv:2003.02430v2 fatcat:b2yalw3qmbhdnp5fmz6yzho3k4Other Versions
Here we present a novel approach to retrieval by training a forward ML surrogate model that predicts spectra given model parameters, providing a fast approximate RT simulation that can be used in a conventional ...
The low signal-to-noise ratio of exoplanet observations require a Bayesian approach to determine posterior probability distributions of each model parameter, given observed spectra. ...
ACKNOWLEDGMENTS We thank contributors to NumPy, SciPy, Matplotlib, Tensorflow, Keras, and the Python Programming Language, the free and open-source community, and the NASA Astrophysics Data System for ...
arXiv:2003.02430v3
fatcat:3higkqzztvflbd2qgwkxzo5axi
Tissue Models and Speckle Reduction in Medical Ultrasound Images
[chapter]
2005
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Parameter of this distribution is used to adjust an adaptive filter. ...
This paper presents a new method for speckle noise reduction in medical ultrasound images. ...
of circular shaped object: a) Original image , b) After Nakagami filtering, c) median filtering and d) Wiener filtering SI = µ σ (14)
Fig. 5 .Fig. 6 . 56 1D profile of the circular object. ...
doi:10.1007/11499145_103
fatcat:cfe35hgsordmdeirf54fk2jqjy
CELLULAR AUTOMATA AS A TOOL FOR IMAGE PROCESSING
[chapter]
2011
Emerging Topics in Computer Vision and its Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We first consider the number of patterns that can exist in a neighbourhood, allowing for invariance to certain transformation. ...
These patterns correspond to possible rules, and several schemes are described for automatically learning an appropriate rule set from training data. ...
For comparison, results of filtering are providing using a 3 × 3 median filter with the optimal number of iterations determined for the test image, giving the median a favourable bias. ...
doi:10.1142/9789814343008_0012
fatcat:nux2ucr7hfhqlhqrn5xzjzphsi
Parallel visual data restoration on multi-GPGPUs using stencil-reduce pattern
2015
The international journal of high performance computing applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, a highly effective parallel filter for visual data restoration is presented. ...
As a result of its high-level design, it is possible to run the filter seamlessly on a multicore machine, on multi-GPGPUs, or on both. ...
An example is the Multi-State Median Filter (MSMF) [13] , which consists of a two-part noisy pixel detection stage and a correction stage by applying the median filter. ...
doi:10.1177/1094342014567907
fatcat:6tpsriexfvbnbda2pfhlb7wula
Multiscale and Multi-Granularity Process Analytics: A Review
2019
Processes
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
dynamics at multiple scales becomes a common pattern; therefore, multiscale methods are called for and must be applied in order to avoid biased analysis towards a certain scale, compromising the benefits ...
Also, these same enabling technologies currently collect large volumes of data at high-sampling rates, creating a flood of digital information that needs to be properly handled; optimal data aggregation ...
data with a finite impulse response median hybrid filter) were used for estimating a PCA model, which was finally applied for monitoring purposes. ...
doi:10.3390/pr7020061
fatcat:gfr4kphirzej3g6zjrebbedgta
Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In comparison to observed flows, the median of the NSE values for the test period are 0.455-0.469 for 1D-CNN (based on NCHF=8, 16, and 32, the numbers of the channels of the feature map of the first layer ...
time series data for a short-duration. ...
Acknowledgement The radar raingauge-analyzed precipitation (RRAP) data were obtained from Japan Meteorological Business Support Center. ...
arXiv:2111.04732v1
fatcat:ychvy5ykpbbuloacsgppdmc4rm
« Previous
Showing results 1 — 15 out of 3,098 results