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September 10, 2025SensorsOpen Access

A Unified Preprocessing Pipeline for Noise-Resilient Crack Segmentation in Leaky Infrastructure Surfaces

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The proposed pipeline achieves a precision of 97.5%, highlighting its effectiveness in noise resilience.
Adaptive thresholding, morphological operations, and contrast enhancement are key components of the new framework.
The integration of background fusion emphasizes crack features while maintaining surface integrity.
Results indicate that targeted preprocessing significantly boosts the reliability of crack detection in real-world scenarios.

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Implication

This framework integrates preprocessing for noise suppression and enhanced crack segmentation performance in infrastructure, suggesting improvements over traditional methods.

Cite This Study

Shin et al. (2025) studied this question.

synapsesocial.com/papers/68c198ab9b7b07f3a0619f4b https://doi.org/10.3390/s25175574

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Implication

This framework integrates preprocessing for noise suppression and enhanced crack segmentation performance in infrastructure, suggesting improvements over traditional methods.

A Unified Preprocessing Pipeline for Noise-Resilient Crack Segmentation in Leaky Infrastructure Surfaces

Key Points

Discussion

Implication

Cite This Study

A Unified Preprocessing Pipeline for Noise-Resilient Crack Segmentation in Leaky Infrastructure Surfaces

Key Points

Discussion

Implication

Cite This Study

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