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Comparison between segmentation performances of a tool based on wavelet decomposition and multithreshold and of a U-net convolutional neural network applied to shearography images of carbon fiber reinforced plastic plates with low-velocity impact damages
Research article (Optical Engineering, 2020) · cited 11× · AI/ML
Comparison between segmentation performances of a tool based on wavelet decomposition and multithreshold and of an U-net convolutional neural network applied to shearography images of carbon fiber reinforced plastic plates with low-velocity impact damages
Summary
Comparison between segmentation performances of a tool based on wavelet decomposition and multithreshold and of an U-net convolutional neural network applied to shearography images of carbon fiber reinforced plastic plates with low-velocity impact damages is a scholarly article[1].
Key Facts
Comparison between segmentation performances of a tool based on wavelet decomposition and multithreshold and of an U-net convolutional neural network applied to shearography images of carbon fiber reinforced plastic plates with low-velocity impact damages's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Comparison between segmentation performances of a tool based on wavelet decomposition and multithreshold and of a U-net convolutional neural network applied to shearography images of carbon fiber reinforced plastic plates with low-velocity impact damages. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-between-segmentation-performances-of-a-tool-based-on-wavelet-decomposition-and-multithreshold-and-of-a-u-net-
MLA“Comparison between segmentation performances of a tool based on wavelet decomposition and multithreshold and of a U-net convolutional neural network applied to shearography images of carbon fiber reinforced plastic plates with low-velocity impact damages.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-between-segmentation-performances-of-a-tool-based-on-wavelet-decomposition-and-multithreshold-and-of-a-u-net-.
BibTeX@misc{4ortxyz_comparison-between-segmentation-performances-of-a-tool-based-on-wavelet-decomposition-and-multithreshold-and-of-a-u-net-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison between segmentation performances of a tool based on wavelet decomposition and multithreshold and of a U-net convolutional neural network applied to shearography images of carbon fiber reinforced plastic plates with low-velocity impact damages}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-between-segmentation-performances-of-a-tool-based-on-wavelet-decomposition-and-multithreshold-and-of-a-u-net-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparison between segmentation performances of a tool based on wavelet decomposition and multithreshold and of a U-net convolutional neural network applied to shearography images of carbon fiber reinforced plastic plates with low-velocity impact damages — https://4ort.xyz/entity/comparison-between-segmentation-performances-of-a-tool-based-on-wavelet-decomposition-and-multithreshold-and-of-a-u-net- (retrieved 2026-05-24)