Results 91 to 100 of about 131,068 (305)

Impact of topology-related attributes from local binary patterns on texture classification

, 2014
A general texture description model is proposed, using topology related attributes calculated from Local Binary Patterns (LBP). The proposed framework extends and generalises existing LBP-based descriptors like LBP-rotation invariant uniform patterns (
Manzanera, Antoine, Kropatsch, Walter, Nguyen, Thanh Phuong   +2 more
core  

New face recognition method based on local binary pattern histogram

, 2014
International audienceFace recognition is one of the most important tasks in computer vision and biometrics where many algorithms have been developed.
Taleb-Ahmed, Abdelmalik, M. C. Batouche, A. Taleb-Ahmed, C. Taouche, M. Chemachema, M. Berkane, Taouche, Cherif, Berkane, Mohamed, Batouche, Mohamed, Chemachema, Mohamed   +9 more
core   +1 more source

Face recognition system using local binary pattern with binary dragonfly algorithm to feature selection

, 2022
In this paper, the local binary pattern is used to feature extraction, and the Binary Dragonfly Algorithm (BDA) is exploited to find the optimum features. This is a new methodology for face recognition systems.
Al-Obadi, Mohammed G.F., Türkben, Ayça Kurnaz, Naseri, Raghda Awad Shaban, Mustafa, Ahmed Khalid, Farhan, Hameed Mutlag, Al-Aloosi, Ahmed Raad   +5 more
core   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

Comprehensive Assessment of Arterial, Tissue, and Venous Collaterals for Evaluating the Infarct Growth Rate: The Multimodal Collateral Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto, Umberto Pensato, Ilaria Casetta, Giorgio U. Marcello, Angelo Barra, Anna Poggesi, Edoardo Carlesi, Sara Mancini, Andrea Ginestroni, Vittorio Miele, Alessandro Padovani, Andrea Morotti, Enrico Fainardi   +12 more
wiley   +1 more source

Descripción de textura en imágenes utilizando Local Binary Pattern (LPB) [PDF]

, 2019
Cap. 7, pp. 115-130En este capítulo vamos a estudiar uno de los descriptores de textura más utilizados en la actualidad, llamado Local Binary Pattern (LBP) o patrón binario local, que tiene numerosas aplicaciones en el análisis de imágenes digitales y ...
García-Olalla Olivera, Óscar, Alegre Gutiérrez, Enrique   +1 more
core  

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou, Marc Jaskir, Julian Gal, Yombe Fonkeu, Christos Davatzikos, MacLean P. Nasrallah, Jose Garcia, Rubo Xing, Stephen J. Bagley, Arati Desai, Richard E. Phillips, Steven Tobochnik, Colin A. Ellis, James J. Gugger, Nishant Sinha, Joel M. Stein, Kathryn A. Davis   +16 more
wiley   +1 more source

Automated anxiety detection using probabilistic binary pattern with ECG signals

Background and aim Anxiety disorder is common; early diagnosis is crucial for management. Anxiety can induce physiological changes in the brain and heart.
Molinari, Filippo, Baygin, Mehmet, Barua, Prabal Datta, Tuncer, Turker, Hong, Tan Jen, Acharya, U. Rajendra, Dogan, Sengul, March, Sonja, Tan, Ru-San   +8 more
core   +1 more source

Subclinical Optic Nerve Involvement in Radiologically Isolated Syndrome: Multimodal Detection and Diagnostic Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay, Cassandre Landes‐Château, Lydiane Mondot, Mikael Cohen, Margherita Popolo, Jérôme de Seze, Bertrand Bourre, Françoise Durand‐Dubief, Olivier Casez, Orhun H. Kantarci, Aksel Siva, Stephanie Baillif, Darin T. Okuda, Letizia Leocani   +13 more
wiley   +1 more source

Jumping and Refined Local Pattern for Texture Classification

IEEE Access, 2018
The local binary pattern (LBP) model is a simple and effective method of texture classification, but it is sensitive to rotational and noisy images. Although many variants of LBP are proposed by scholars, there are still several urgent problems, such as ...
Tianyu Wang, Yongsheng Dong, Chunlei Yang, Lin Wang, Lingfei Liang, Lintao Zheng, Jiexin Pu   +6 more
doaj   +1 more source