Method of interval fusion with preference aggregation in brightness thresholds selection for automatic weld surface defects recognition; Measurement; Vol. 236

Method of interval fusion with preference aggregation in brightness thresholds selection for automatic weld surface defects recognition; Measurement; Vol. 236

Bibliografische gegevens
Parent link:	Measurement.— .— Amsterdam: Elsevier Science Publishing Company Inc. Vol. 236.— 2024.— Article number 114969, 18 p.
Hoofdauteur:	Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Coauteur:	National Research Tomsk Polytechnic University (570)
Andere auteurs:	Duc Cuong Nguyen
Samenvatting:	Title screen Checking the weld joint quality is carried out during visual inspection process and depends significantly on an operator’s experience. In the article, an approach is proposed to automatically determination of geometric attributes and classification of a defective region, where the segmentation of the analyzed optical image of a weld (i.e., its division into defective and defect-free regions) is carried out using a combination of two procedures: region growing and edge detecting. The brightness thresholds for these procedures are calculated by the robust method of interval fusion with preference aggregation (IF&PA) based on the analysis of the fragmented image histograms and its gradients. The results obtained by the two procedures are consolidated to obtain a refined defective region. Testing the proposed technology on 150 real optical images showed its ability to identify geometric features and detect certain weld defects with higher accuracy compared to conventional Otsu and k-means methods Текстовый файл AM_Agreement
Taal:	Engels
Gepubliceerd in:	2024
Onderwerpen:	электронный ресурс труды учёных ТПУ weld defect visual inspection image segmentation region growing brightness threshold edge detection canny operator interval fusion preference aggregation kemeny rule
Online toegang:	https://doi.org/10.1016/j.measurement.2024.114969
Formaat:	Elektronisch Hoofdstuk
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=673341

Gelijkaardige items

Weld Defects Automatic Visual Recognition by Combined Application of Canny Edge Detector and Interval Fusion with Preference Aggregation; Information, Control, and Communication Technologies (ICCT)
door: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Gepubliceerd in: (2022)

Analysis of heteroscedastic measurement data by the self-refining method of interval fusion with preference aggregation – IF&PA; Measurement; Vol. 183
door: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Gepubliceerd in: (2021)

Recognition Ability of Interval Fusion with Preference Aggregation in Weld Defects Images Analysis; Global trends in Testing, Diagnostics & Inspection for 2030
door: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Gepubliceerd in: (2020)

Kemeny rule for preference aggregation: Reducing all exact solutions to a single one; Measurement; Vol. 182
door: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Gepubliceerd in: (2021)

Automatic Segmentation by the Method of Interval Fusion with Preference Aggregation When Recognizing Weld Defects; Russian Journal of Nondestructive Testing; Vol. 59, iss. 12
door: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Gepubliceerd in: (2023)

Метод агрегирования предпочтений при определении пороговых значений яркости для распознавания объектов на оптических изображениях; Известия Томского политехнического университета [Известия ТПУ]. Инжиниринг георесурсов; Т. 335, № 3
door: Нгуен Д. К. Дык Кыонг
Gepubliceerd in: (2024)

Adjustment of fundamental physical constant values using the interval fusion with preference aggregation; Measurement; Vol. 163
door: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Gepubliceerd in: (2020)

Precise Measurand Value Estimating by Interval Fusion with Preference Aggregation: Heteroscedasticity Case; Global trends in Testing, Diagnostics & Inspection for 2030
door: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Gepubliceerd in: (2020)

Inertial MEMS Sensors Accuracy Improvement by Interval Fusion with Preference Aggregation; SENSORS 2020
Gepubliceerd in: (2020)

Interval Data Fusion with Preference Aggregation for Balancing Measurement Accuracy and Energy Consumption in WSN; Wireless Personal Communications; Vol. 118, iss. 4
door: Khudonogova L. I. Ludmila Igorevna
Gepubliceerd in: (2021)

Агрегирование предпочтений в интерпретации данных энергетических обследований; Известия Томского политехнического университета [Известия ТПУ]. Инжиниринг георесурсов; Т. 329, № 12
door: Муравьев С. В. Сергей Васильевич
Gepubliceerd in: (2018)

Robust Determination of Performance Loss Rate for Photovoltaic Systems; IEEE Sensors Letters; Vol. 8, iss. 9
door: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Gepubliceerd in: (2024)

Mathematical and Software for Building the Rating of the Largest IaaS Suppliers by the Threshold Aggregation Method; Lecture Notes in Electrical Engineering (LNEE); Vol. 986 : Advances in Automation IV
door: Razumnikov S. V. Sergey Viktorovich
Gepubliceerd in: (2023)

A consensus ranking based proposal for combining data in adjustment of the fundamental physical constant values; Testing, Diagnostics & Inspection as a comprehensive value chain for Quality & Safety
door: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Gepubliceerd in: (2019)

Computer-Aided Recognition of Defects in Welded Joints during Visual Inspections Based on Geometric Attributes; Russian Journal of Nondestructive Testing; Vol. 56, iss. 3
door: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Gepubliceerd in: (2020)

Building an Aggregate Rating of Popular SaaS Services Based on Organization of Customer Support Channels; Lecture Notes in Electrical Engineering (LNEE); Vol. 857 : Advances in Automation III
door: Razumnikov S. V. Sergey Viktorovich
Gepubliceerd in: (2022)

Робастный выбор пороговых значений яркости для методов автоматического распознавания дефектов сварного шва: диссертация на соискание учёной степени кандидата технических наук; спец. 2.3.1
door: Нгуен Дык Кыонг
Gepubliceerd in: (Томск, 2024)

A multi-level thresholding method for breast thermograms analysis using Dragonfly algorithm; Infrared Physics & Technology; Vol. 93
Gepubliceerd in: (2019)

Modified Artificial Ecosystem-Based Optimization for Multilevel Thresholding Image Segmentation; Mathematics; Vol. 9, iss. 19
Gepubliceerd in: (2021)

Boosting Marine Predators Algorithm by Salp Swarm Algorithm for Multilevel Thresholding Image Segmentation; Multimedia Tools and Applications; Vol. 81, iss. 12
Gepubliceerd in: (2022)

Робастный выбор пороговых значений яркости для методов автоматического распознавания дефектов сварного шва: автореферат диссертации на соискание учёной степени кандидата технических наук; спец. 2.3.1
door: Нгуен Дык Кыонг
Gepubliceerd in: (Томск, 2024)

Interval data fusion with preference aggregation; Measurement; Vol. 116
door: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Gepubliceerd in: (2018)

Probability of radiation of twisted photons in the infrared domain; Annals of Physics; Vol. 406
door: Bogdanov O. V. Oleg Viktorovich
Gepubliceerd in: (2019)

A Cumulative Sums Algorithm for Segmentation of Digital X-ray Images; Journal of Nondestructive Evaluation; Vol. 38
door: Vorobeychikov S. E. Sergey Erikovich
Gepubliceerd in: (2019)

An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer; Biomedical Signal Processing and Control; Vol. 73
Gepubliceerd in: (2022)

Three-dimensional room visualization on the basis of two-dimensional pictures; Mechanical Engineering, Automation and Control Systems (MEACS)
door: Tsapko I. V. Irina Valerievna
Gepubliceerd in: (2014)

Thermography data fusion and nonnegative matrix factorization for the evaluation of cultural heritage objects and buildings; Journal of Thermal Analysis and Calorimetry; Vol. 136, iss. 2
Gepubliceerd in: (2019)

Агрегирование предпочтений при выборе цветовой модели для цифрового цветометрического анализа состава веществ; Известия Томского политехнического университета [Известия ТПУ]. Инжиниринг георесурсов; Т. 331, № 8
door: Муравьев С. В. Сергей Васильевич
Gepubliceerd in: (2020)

Determination of vertex polynomials to analyse robust stability of control systems with interval parameters; IET Control Theory & Applications; Vol. 14, iss. 18
Gepubliceerd in: (2020)

The interval-parametric synthesis of a linear controller based on the coefficient parameters of robust stability and oscillation; 15th international conference on Sciences and Techniques of Automatic control & computer engineering - STA'2014, Hammamet, Tunisia, December 21-23, 2014
door: Gayvoronskiy S. A. Sergey Anatolievich
Gepubliceerd in: (2014)

Parametric Synthesis of a Robust Controller for Maximising the Response of an Interval Control System; International Review of Automatic Control (IREACO); Vol. 15, № 2
door: Gaivoronsky (Gayvoronsky) S. A. Sergey Anatolievich
Gepubliceerd in: (2022)

Aggregation of manufactured nanoparticles in aqueous solutions of mono- and bivalent electrolytes; Journal of Nanoparticle Research; Vol. 17
Gepubliceerd in: (2015)

Study of High-Frequency Brightness Amplifiers Radial Profile; Micro/Nanotechnologies and Electron Devices (EDM)
Gepubliceerd in: (2018)

Maximizing Stability Degree of Control Systems under Interval Uncertainty Using a Coefficient Method; Reliable computing; Vol. 19, iss. 3
door: Pushkarev M. I. Maksim Ivanovich
Gepubliceerd in: (2014)

300 kHz metal vapor brightness amplifier; Optical and Quantum Electronics; Vol. 55
Gepubliceerd in: (2023)

Maximizing stability degree of interval systems using coefficient method; 15th GAMM-IMACS International Symposiumon Scientific Computing, Computer Arithmeticsand Verified Numerics SCAN’2012
door: Pushkarev M. I. Maksim Ivanovich
Gepubliceerd in: (2012)

Multisensor accuracy enhancement on the base of interval voting in form of preference aggregation in WSN for ecological monitoring; Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
door: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Gepubliceerd in: (2015)

Influence of artefact correction and recording device type on the practical application of a non-linear heart rate variability biomarker for aerobic threshold determination; Sensors; Vol. 21, iss. 3
Gepubliceerd in: (2021)

Development of Simulation Models of Cloud Computing Infrastructures with Automatic Scaling Based on Thresholds; Lecture Notes in Networks and Systems; Vol. 722 : Software Engineering Research in System Science
Gepubliceerd in: (2023)

Surface Acid-Base Characteristics and their Contribution to Aggregative Stability of Nanoparticles; Advanced Materials Research; Vol. 872 : Russian-German Forum on Nanotechnology
Gepubliceerd in: (2014)