A Visual Measurement Method for Deep Holes in Composite Material Aerospace Components.
Laplace operator
composite materials
image processing
robotic assembly
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
11 Jun 2024
11 Jun 2024
Historique:
received:
12
04
2024
revised:
30
05
2024
accepted:
07
06
2024
medline:
27
6
2024
pubmed:
27
6
2024
entrez:
27
6
2024
Statut:
epublish
Résumé
The visual measurement of deep holes in composite material workpieces constitutes a critical step in the robotic assembly of aerospace components. The positioning accuracy of assembly holes significantly impacts the assembly quality of components. However, the complex texture of the composite material surface and mutual interference between the imaging of the inlet and outlet edges of deep holes significantly challenge hole detection. A visual measurement method for deep holes in composite materials based on the radial penalty Laplacian operator is proposed to address the issues by suppressing visual noise and enhancing the features of hole edges. Coupled with a novel inflection-point-removal algorithm, this approach enables the accurate detection of holes with a diameter of 10 mm and a depth of 50 mm in composite material components, achieving a measurement precision of 0.03 mm.
Identifiants
pubmed: 38931573
pii: s24123786
doi: 10.3390/s24123786
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Science Fund of China
ID : 52325506
Organisme : National Science Fund of China
ID : 52305450
Organisme : China Postdoctoral Science Foundation
ID : 2023TQ0045