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Median-type filters with model-based preselection masks

Lina García-Cabrera, M.José García-Salinas, Pedro L. Luque-Escamilla, José Martínez-Aroza, Juan F. Gómez Lopera, Ramón Román-Roldán
1996 Image and Vision Computing  
All rights reserved PZZ SO262-8856(96)01084-O In this paper new median-type filters, called Mask-Model Filters, are introduced.  ...  To remove impulsive noise, several variants of median-type filters are presented.  ...  This simple filter is the conventional median filter operating with the preselection mask. The model Q(w) is used here only for building the NEM, and not in the filtering process.  ... 
doi:10.1016/s0262-8856(96)01084-0 fatcat:5bc3ucr36jclbakk3uoxq6copi

Automatic Lesion Detection in Breast DCE-MRI [chapter]

Stefano Marrone, Gabriele Piantadosi, Roberta Fusco, Antonella Petrillo, Mario Sansone, Carlo Sansone
2013 Lecture Notes in Computer Science  
The proposed method is based on a Support Vector Machine trained with dynamic features, extracted, after a suitable pre-processing of the image, from an area preselected by using a pixel-based approach  ...  Our results were also compared to other automatic segmentation methodologies: the proposed method maximises the area of correctly detected lesions while minimizing the number of false alarms (with an accuracy  ...  In this study we adopted a median filter-based pre-processing: in this manner, small shifts are considered as noise superimposed on correctly aligned images.  ... 
doi:10.1007/978-3-642-41184-7_37 fatcat:cxi44od4rjfmhnsjx6qykpwal4

Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning

Vaanathi Sundaresan, Christoph Arthofer, Giovanna Zamboni, Robert A. Dineen, Peter M. Rothwell, Stamatios N. Sotiropoulos, Dorothee P. Auer, Daniel J. Tozer, Hugh S. Markus, Karla L. Miller, Iulius Dragonu, Nikola Sprigg (+3 others)
2022 Frontiers in Neuroinformatics  
We also used the UK Biobank dataset to compare our approach with alternative CMB preselection methods using non-imaging factors and/or imaging data.  ...  We developed and evaluated our pipelines on different types of images, consisting of SWI or GRE images.  ...  (A) Input image with green boxes indicating manually segmented CMBs, (B) vessel removed image and (C) result of the shape-based filtering.  ... 
doi:10.3389/fninf.2021.777828 pmid:35126079 pmcid:PMC8811357 fatcat:ihozpe4q25cwlbqw2panfkrmxq

Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation

Pierrick Coupé, José V. Manjón, Vladimir Fonov, Jens Pruessner, Montserrat Robles, D. Louis Collins
2011 NeuroImage  
A comparison with an appearance-based method and a template-based method was also carried out.  ...  The highest median kappa index values obtained with the proposed method were 0.884 for hippocampus segmentation and 0.959 for lateral ventricle segmentation.  ...  The Rician noise level, used as a filtering parameter, was estimated with the object-based method proposed .  ... 
doi:10.1016/j.neuroimage.2010.09.018 pmid:20851199 fatcat:k4fmsrptrnagjkv4aqzhz2zx4y

Caesar source finder: Recent developments and testing

S. Riggi, F. Vitello, U. Becciani, C. Buemi, F. Bufano, A. Calanducci, F. Cavallaro, A. Costa, A. Ingallinera, P. Leto, S. Loru, R. P. Norris (+4 others)
2019 Publications Astronomical Society of Australia  
The achieved sensitivity and large field of view already allow to discover new sources and survey thousands of existing ones with improved precision with respect to previous surveys.  ...  AbstractA new era in radio astronomy will begin with the upcoming large-scale surveys planned at the Australian Square Kilometre Array Pathfinder (ASKAP).  ...  Two different algorithms are available, one based on the Chan-Vese active contour model (Chan & Vese, 2001) and the other based on the localizing region-based active contour (LRAC) model (Lankton &  ... 
doi:10.1017/pasa.2019.29 fatcat:4ovdul7pw5bwhnl3ilxjfhjh2m

Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures [article]

Laura Deming, Sasha Targ, Nate Sauder, Diogo Almeida, Chun Jimmie Ye
2016 arXiv   pre-print
Each human genome is a 3 billion base pair set of encoding instructions.  ...  Table 1 : 1 Mean and median AUC of models and percentage of datasets on which each model outperforms DeepBind or DeepMotif. model mean AUC median AUC vs DeepBind vs DeepMotif DeepBind 0.904 0.932  ...  We also train PromoterNet architectures on single task regression with a separate model for each of the 11 lineages and on cell type specific multi-task regression with one output unit for each of 243  ... 
arXiv:1605.07156v1 fatcat:452xiedlvzbajmcf7f4qbznssq

Post-radiochemotherapy PET radiomics in head and neck cancer – The influence of radiomics implementation on the reproducibility of local control tumor models

Marta Bogowicz, Ralph T.H. Leijenaar, Stephanie Tanadini-Lang, Oliver Riesterer, Martin Pruschy, Gabriela Studer, Jan Unkelbach, Matthias Guckenberger, Ender Konukoglu, Philippe Lambin
2017 Radiotherapy and Oncology  
Post-radiochemotherapy PET radiomics in head and neck cancer -The influence of radiomics implementation on the reproducibility of local control tumor models.  ...  Local control rate curves for low-and high-risk of recurrence groups based on the two PET radiomic models. The curves split significantly independent of the implementation (G-rho test p-value < 0.05).  ...  It was most probably caused by differences in mask construction and wavelet transform workflow: especially in the translation of the bin size to the wavelet transformed images and the type of transform  ... 
doi:10.1016/j.radonc.2017.10.023 pmid:29122358 fatcat:4nfkmuvlunfvfiej5j6uu74z3q

Hyperparameter Optimization for Image Recognition over an AR-Sandbox Based on Convolutional Neural Networks Applying a Previous Phase of Segmentation by Color–Space

Andrés Ovidio Restrepo Rodríguez, Daniel Esteban Casas Mateus, Paulo Alonso Gaona García, Carlos Enrique Montenegro Marín, Rubén González Crespo
2018 Symmetry  
implementation of a previous phase of color–space segmentation to a set of tests captured from the AR-Sandbox, and evaluating this type of segmentation using similarity indexes such as Jaccard and Sørensen–Dice  ...  For this reason, this research has the purpose of establishing a model of a CNN for the classification of geometric figures by optimizing hyperparameters using Random Search, evaluating the impact of the  ...  Table 3 shows each model with the values obtained with both datasets. Table 3 . Preselected model validation.  ... 
doi:10.3390/sym10120743 fatcat:rej44xp5hjb63k7a3d2mnkzbjy

An improved motion-compensated restoration method for damaged color motion picture films

Ali Gangal, Temel Kayikçioglu, Bekir Dizdaroglu
2004 Signal processing. Image communication  
The method consists of an improved multiresolution block matching with log-D search, a rank ordered differences-based blotch detection and 3D vector median filtering for interpolation of missing data,  ...  Performance of the method is tested on artificially corrupted image sequences and real motion picture films, and is compared to that of the three-frame-based method which involves similar algorithms except  ...  masks, W z ; with size of 3 Â 3: These filters are shown in Fig. 6 .  ... 
doi:10.1016/j.image.2004.01.001 fatcat:wjxybi3eh5enzfqmkvc53adns4

Extensive light profile fitting of galaxy-scale strong lenses

F. Brault, R. Gavazzi
2015 Astronomy and Astrophysics  
We investigate the merits of a massive forward modeling of ground-based optical imaging as a diagnostic for the strong lensing nature of Early-Type Galaxies, in the light of which blurred and faint Einstein  ...  We then fit for the lensed light distribution with sl_fit after having subtracted the foreground light emission off (ideal case) and also after having fitted the deflector's light with galfit.  ...  This research is based on observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA/DAPNIA, a joint project of CFHT, Taiwan, Korea, Canada and France, at the Canada-France-Hawaii Telescope  ... 
doi:10.1051/0004-6361/201425275 fatcat:klacoay4hjdcveenmsjy2yhufq

A New Tool to Estimate Inundation Depths by Spatial Interpolation (RAPIDE): Design, Application and Impact on Quantitative Assessment of Flood Damages

Anna Scorzini, Alessio Radice, Daniela Molinari
2018 Water  
The interpolation is improved by (i) the use of auxiliary lines, perpendicular to the river reach, along which additional control points are placed and (ii) the possibility to introduce a mask for filtering  ...  This paper presents RAPIDE, a new GIS-based tool for the estimation of the water depth distribution that relies only on the perimeter of the inundation and a digital terrain model.  ...  spacing' case; (d) Mask for filtering interpolation points in urban areas  ... 
doi:10.3390/w10121805 fatcat:r4itthklk5gglnybzzmvq7i5xe

Spoof Detection of Fingerprint Biometrics based on Local and Global Quality Measures

Arunalatha G., M. Ezhilarasan
2015 International Journal of Computer Applications  
Biometric system is vulnerable to various types of attacks. This paper proposes a method to avoid the sensor level attack.  ...  Among the various types of biometrics, fingerprint is the most widely accepted biometrics. Biometric systems have several advantages when compared to classical methods such as passwords.  ...  is attacked and corrupted so that it produces preselected match scores Type 6-Tampering with stored templates: The database of stored templates could be either local or remote.  ... 
doi:10.5120/ijca2015905804 fatcat:l2iur5xhzrbirjk5qe5fg2pvyq

Identification of bovine sperm head for morphometry analysis in quantitative phase-contrast holographic microscopy

P. Memmolo, G. Di Caprio, C. Distante, M. Paturzo, R. Puglisi, D. Balduzzi, A. Galli, G. Coppola, P. Ferraro
2011 Optics Express  
It is demonstrated that both proposed methods are efficient to skim the data set in a preselective analysis for discarding anomalous data.  ...  Their model has been thought to build a strong filter contribution in areas of the image where gray levels are locally coherent, while maintaining almost unchanged areas with high gradient, in order to  ...  The first, which we will call Algorithm 1, is based on a nonlinear diffusion filter.  ... 
doi:10.1364/oe.19.023215 pmid:22109200 fatcat:cvmcnhkmwjdbheexz3cbnpu4sy

Impulse noise removal using polynomial approximation

Dapeng Zhang
1998 Optical Engineering: The Journal of SPIE  
To remove noises from the corrupted image, we propose a new filter called a polynomial approximation (PA) filter, which is developed by modeling a local region with a polynomial that can best approximate  ...  Major improvements are obtained in comparison with other state-of-the-art algorithms.  ...  Filtering Algorithm Fixed-Value Impulses (dB) Random-Valued Impulses (dB) Median filter (3ϫ3) 28.57 29.76 Median filter (5ϫ5) 28.78 28.59 Median filter with adaptive length 2 30.57 31.18  ... 
doi:10.1117/1.601964 fatcat:4mahnmmrkvarnhj6bsrpunj24a

Contour Extraction of Femur and Tibia Condyles on Plain Anteroposterior (AP) Radiograph

Humera Tariq, S. M. Aqil Burney
2012 International Journal of Computer Applications  
The images are resized and filtered to detect femoral and tibia condyles edge pixels respectively. Thresholding is then applied which introduce outliers.  ...  The entire radiograph underwent filtering three times with a 3 × 3 square neighborhood median filter to reduce the image noise.  ...  The classical gradient based edge detection operators are Sobel [7] , Robert [10] , and Prewitt [8] each designed to be sensitive to certain types of edges.  ... 
doi:10.5120/8278-1893 fatcat:2kg7s3lsvve3np4gqh25wjgrhm
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