An enhanced data augmentation strategy for deep learning-based segmentation of XCT images in variable-angle braided laminates
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: Mechanical Behavior of Composites · Textile materials and evaluations · Epoxy Resin Curing Processes
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (64)
Show source-provided references
1. Manufacturing technology and its application of aerospace advanced polymer matrix composites
2. Manufacturing technology of lightweight fiber-reinforced composite structures in aerospace: current situation and toward intellectualization10.3390/aerospace10030206 ↗
3. Advances in resin matrix composite fan blades for aircraft engines: a review10.1016/j.tws.2024.112058 ↗
4. Review of monolithic composite laminate and stiffened structures in aeronautic applications
5. Mechanical analysis of a carbon fibre composite woven composite laminate for ultra-light applications in aeronautics
6. Mechanical response and damage mechanism of Carbon/Kevlar hybrid braiding composite laminates under quasi-static indentation and low-velocity impact loading10.1016/j.tws.2025.113291 ↗
7. Effect of fiber layout on low-velocity impact response of intralaminar hybrid carbon/glass fiber braided composite pipes under internal pressure10.1016/j.tws.2024.111711 ↗
8. Experimental study on the low-velocity impact response of braided composite panel: effect of stacking sequence10.1016/j.compstruct.2020.112691 ↗
9. Damage evolution in braided composite tubes under axial compression studied by combining infrared thermography and X-ray computed tomography10.1016/j.compstruct.2022.116634 ↗
10. Meso-scale modeling of fracture mechanism in biaxial non-crimp fabric reinforced polymer composite
11. Multiscale analysis of carbon/carbon composite pores based on X-ray computed tomography10.1016/j.jeurceramsoc.2024.116880 ↗
12. Experimental and computational analysis of structure-property relationship in carbon fiber reinforced polymer composites fabricated by selective laser sintering10.1016/j.compositesb.2020.108499 ↗
13. In-situ 3D visualization of high-temperature damage of ceramifiable FRP composites under compressive loading using X-ray tomography and deep learning[J]10.1016/j.jmst.2025.03.062 ↗
14. Improved 3D image segmentation for X-ray tomographic data of biaxial warp-knitted composites10.1177/07316844231220716 ↗
15. An image segmentation algorithm in image processing based on threshold segmentation
16. A segmentation system based on thresholding10.1016/S0146-664X(81)80015-9 ↗
17. Edge detection techniques-an overview
18. On edge detection10.1109/TPAMI.1986.4767769 ↗
19. Improved watershed algorithm for dowels image segmentation
20. An overview of watershed algorithm implementations in open source libraries10.3390/jimaging4100123 ↗
21. An updated review on watershed algorithms
22. Porosity characterization of fiber-reinforced ceramic matrix composite using synchrotron X-ray computed tomography10.1088/1748-0221/11/03/C03052 ↗
23. A fine-segmentation algorithm for XCT images of multiphase composite building materials based on deep learning
24. Composite materials characterization based on a computed tomography scan optimization approach
25. Foundational investigation on the characterization of porosity and fiber orientation using XCT in large-scale extrusion additive manufacturing10.3390/ma15062290 ↗
26. Comparison of different segmentation methods for porosity evaluation in CFRP-reference samples with real porosity samples
27. Measurement of voids in composites by X-ray computed tomography10.1016/j.compscitech.2013.09.019 ↗
28. CT image segmentation method of composite material based on improved watershed algorithm and U-Net neural network model10.1007/s12204-021-2385-2 ↗
29. X-ray tomography investigation of intensive sheared Al–SiC metal matrix composites10.1016/j.matchar.2015.11.003 ↗
30. Visualizing air voids and synthetic fibers from X-Ray computed tomographic images of concrete
31. Automatic segmentation framework of X-Ray tomography data for multi-phase rock using swin transformer approach10.1038/s41597-023-02734-7 ↗
32. Advanced deep learning‐based 3D microstructural characterization of multiphase metal matrix composites10.1002/adem.201901197 ↗
33. Feature extraction and quantitative analysis of steel corrosion in reinforced concrete components based on XCT scanning and deep learning model
34. Four-dimensional materials science: time-resolved x-ray microcomputed tomography
35. Application of machine learning in polymer additive manufacturing: a review10.1002/pol.20230649 ↗
36. U-net: convolutional networks for biomedical image segmentation[C]//Medical image computing and computer-assisted intervention
37. U2-Net: going deeper with nested U-structure for salient object detection10.1016/j.patcog.2020.107404 ↗
38. Swin-unet: unet-like pure transformer for medical image segmentation
39. Unet++: a nested u-net architecture for medical image segmentation
40. Encoder-decoder with atrous separable convolution for semantic image segmentation
41. Pyramid scene parsing network
42. Machine-learning-based algorithms for automated image segmentation techniques of transmission X-ray microscopy (TXM)10.1007/s11837-021-04706-x ↗
43. Material twins generation of woven polymer composites based on ResL-U-Net convolutional neural networks10.1016/j.compstruct.2023.116672 ↗
44. Automatic void content assessment of composite laminates using a machine-learning approach10.1016/j.compstruct.2022.115383 ↗
45. A review of yolo algorithm developments10.1016/j.procs.2022.01.135 ↗
46. Mask r-cnn
47. Solo: segmenting objects by locations
48. Direct modeling of the elastic properties of single 3D printed composite filaments using X-ray computed tomography images segmented by neural networks
49. An improved YOLOv8 for fiber bundle segmentation in X-ray computed tomography images of 2.5 D composites to build the finite element model10.1016/j.compositesa.2024.108337 ↗
50. Keyhole porosity identification and localisation via X-Ray imaging with YOLO
51. Deep-layers-assisted machine learning for accurate image segmentation of complex materials[J]10.1016/j.matchar.2022.112175 ↗
52. Instance segmentation of 3D woven fabric from tomography images by deep learning and morphological pseudo-labeling10.1016/j.compositesb.2022.110333 ↗
53. Descriptive modeling of textiles using FE simulations and deep learning10.1016/j.compscitech.2021.108897 ↗
54. An improved dataset augmentation approach for deep learning-based XCT images segmentation in layered composite fabric10.1016/j.compstruct.2023.117052 ↗
55. Improved XCT image automatic segmentation for quantitative characterization of the meso-morphological features in the damaged braided composite fabric10.1016/j.compscitech.2023.110395 ↗
56. Masked-attention mask transformer for universal image segmentation
57. Chen K, Wang J, Pang J, et al. MMDetection: Open mmlab detection toolbox and benchmark[J]. arXiv preprint arXiv:1906.07155, 2019.
58. Stylegan-xl: scaling stylegan to large diverse datasets
59. Unpaired image-to-image translation using cycle-consistent adversarial networks
60. A style-based generator architecture for generative adversarial networks
61. Diffusion models in vision: a survey10.1109/TPAMI.2023.3261988 ↗
62. Generative adversarial networks10.1145/3422622 ↗
63. A survey on instance segmentation: state of the art10.1007/s13735-020-00195-x ↗
64. A review of semantic segmentation using deep neural networks10.1007/s13735-017-0141-z ↗