Variational level set and fuzzy clustering for enhanced thermal image segmentation and damage assessment-Reference-Cited by-同舟云学术

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Variational level set and fuzzy clustering for enhanced thermal image segmentation and damage assessment

Published:2021-03 Issue: Volume:118 Page:102396
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Wang Zijun,Wan Litao,Xiong Nanfei,Zhu Junzhen,Ciampa Francesco

Funder

Royal Society

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science

Reference35 articles.

1. Optimization of the pulse-compression technique applied to the infrared thermography nondestructive evaluation;Giuseppe;NDT E Int,2017

2. Infrared thermography processing based on higher-order statistics;Madruga;NDT E Int,2010

3. Non-destructive testing of CFRP by laser excited thermography;Swiderski;Compos Struct,2018

4. Survey on image segmentation techniques;Zaitoun;Procedia Computer Science,2015

5. A survey on region based image fusion methods;Bikash;Inf Fusion,2019

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2. Image Analysis Techniques Applied in the Drilling of a Carbon Fibre Reinforced Polymer and Aluminium Multi-Material to Assess the Delamination Damage;Processes;2024-06-19

3. A Framework for Segmentation of Thermal Images using Unsupervised Fuzzy Based Clustering Methods;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

4. Automated detection and classification of concealed objects using infrared thermography and convolutional neural networks;Scientific Reports;2024-04-09

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