Statistical Selection and Interpretation of Imagery Features for Computer Vision-Based Pavement Crack–Detection Systems

Research article (Journal of Performance of Constructed Facilities, 2017) · cited 12× · AI/ML
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Statistical Selection and Interpretation of Imagery Features for Computer Vision-Based Pavement Crack–Detection Systems

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Statistical Selection and Interpretation of Imagery Features for Computer Vision-Based Pavement Crack–Detection Systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Statistical Selection and Interpretation of Imagery Features for Computer Vision-Based Pavement Crack–Detection Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/statistical-selection-and-interpretation-of-imagery-features-for-computer-vision-based-pavement-crackdetection-systems
MLA “Statistical Selection and Interpretation of Imagery Features for Computer Vision-Based Pavement Crack–Detection Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/statistical-selection-and-interpretation-of-imagery-features-for-computer-vision-based-pavement-crackdetection-systems.
BibTeX @misc{4ortxyz_statistical-selection-and-interpretation-of-imagery-features-for-computer-vision-based-pavement-crackdetection-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Statistical Selection and Interpretation of Imagery Features for Computer Vision-Based Pavement Crack–Detection Systems}}, year = {2026}, url = {https://4ort.xyz/entity/statistical-selection-and-interpretation-of-imagery-features-for-computer-vision-based-pavement-crackdetection-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Statistical Selection and Interpretation of Imagery Features for Computer Vision-Based Pavement Crack–Detection Systems — https://4ort.xyz/entity/statistical-selection-and-interpretation-of-imagery-features-for-computer-vision-based-pavement-crackdetection-systems (retrieved 2026-05-24)

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