Results 41 to 50 of about 208,499 (277)

Evaluation of Gasket Surface Contact Stress Uniformity Based on Gray-Level Co-Occurrence Matrix

open access: yesApplied Sciences, 2022
Due to the high demand for compression recovery tests of metal gaskets, it is difficult to provide and evaluate uniform stress on metal gaskets. To effectively evaluate the uniformity of surface stress on a metal gasket, we propose a method of evaluating
Jiayan Chen   +3 more
doaj   +1 more source

Brain Tumor Classification Using Gray Level Co-occurrence Matrix and Convolutional Neural Network [PDF]

open access: yes, 2018
Image are objects that have many information. Gray Level Co-occurrence Matrix is one of many ways to extract information from image objects. Wherein, the extracted informations can be processed again using different methods, Gray Level Co-occurrence ...
Prakarsah, Cendy   +2 more
core   +2 more sources

Monitoring Progression of Amyotrophic Lateral Sclerosis Using Ultrasound Morpho-Textural Muscle Biomarkers: A Pilot Study. [PDF]

open access: yes, 2018
The need is increasing for progression biomarkers that allow the loss of motor neurons in amyotrophic lateral sclerosis (ALS) to be monitored in clinical trials.
Martínez Payá, Jacinto Javier
core   +2 more sources

SMART CITY SECURITY: FACE-BASED IMAGE RETRIEVAL MODEL USING GRAY LEVEL CO-OCCURRENCE MATRIX

open access: yesJournal of ICT, 2020
Nowadays, a lot of images and documents are saved on data sets and cloud servers such as certificates, personal images, and passports. These images and documents are utilized in several applications to serve residents living in smart cities.
Abdullah Mohammed Rashid   +3 more
doaj   +3 more sources

AAA+ protein unfoldases—the Moirai of the proteome

open access: yesFEBS Letters, EarlyView.
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley   +1 more source

Effective crowd anomaly detection through spatio-temporal texture analysis [PDF]

open access: yes, 2018
Abnormal crowd behaviors in high density situations can pose great danger to public safety. Despite the extensive installation of closed-circuit television (CCTV) cameras, it is still difficult to achieve real-time alerts and automated responses from ...
Fan, Jiu-Lun   +4 more
core   +2 more sources

Brain Tumor Detection Using Gray Level Co-Occurrence Matrix Feature Extraction Technique [PDF]

open access: yes, 2021
From each and every passing year, the world has always witnessed a rise in the number of cases of brain tumor. Brain tumor classification and detection is that the most critical and strenuous task within the field of medical image processing while human aided manual detection leads to imperfect divination and diagnosing.
SheelaS   +3 more
openaire   +1 more source

Texture Analysis in Musculoskeletal Ultrasonography: A Systematic Review

open access: yesDiagnostics
Background: The objective of this systematic review was to summarize the findings of texture analyses of musculoskeletal ultrasound images and synthesize the information to facilitate the use of texture analysis on assessing skeletal muscle quality in ...
Yih-Kuen Jan   +2 more
doaj   +1 more source

Research on Feature Extraction and Classification Methods to Improve the Recognition Rate of Monomers Assembly Defects in Thermal Battery

open access: yesIEEE Access, 2022
In the assembly process of thermal battery monomers, problems such as inversion, wrong order, and missing collectors often occur. Defect detection is important for the normal use of thermal batteries. In order to improve the defect recognition rate, this
Wei Zhou   +4 more
doaj   +1 more source

Image segmentation for surface material-type classification using 3D geometry information [PDF]

open access: yes, 2010
This paper describes a novel approach for the segmentation of complex images to determine candidates for accurate material-type classification. The proposed approach identifies classification candidates based on image quality calculated from viewing ...
Liu, D, Paul, G, To, AWK
core   +1 more source

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