A Bridge Crack Segmentation Algorithm Based on Fuzzy C-Means Clustering and Feature Fusion

In response to the limitations of traditional image processing algorithms, such as high noise sensitivity and threshold dependency in bridge crack detection, and the extensive labeled data requirements of deep learning methods, this study proposes a novel crack segmentation algorithm based on fuzzy...

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Bibliographic Details
Main Authors: Yadong Yao, Yurui Zhang, Zai Liu, Heming Yuan
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/25/14/4399
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