Jun 1, 2018 · The objective of crack detection may be of many types depending on the parameter with which the crack detection is made possible. Some of the objective which makes this …

Therefore, an efficient and innovative algorithm for crack detection is proposed, which utilizes a transformer and a multilevel cross-scale weighted feature fusion module, as well as a …

In this paper, we propose DeepCrack-an end-to-end trainable deep convolutional neural network for automatic crack detection by learning high-level features for crack representation.

Feb 23, 2024 · Crack detection is a long-standing structural health monitoring (SHM) research topic. Cracks can change material behaviour and weaken structural strength. Even tiny cracks …

Apr 16, 2025 · Aiming at the problem of missed detections and false positives caused by light, stains, and dense cracks during detection, this paper proposes a bridge crack detection …

Feb 11, 2025 · In response to the growing demand for more advanced crack detection techniques, this paper presents CrackVision, an advanced framework that leverages Transfer Learning …

The emergence and development of cracks often serve as a precursor to accidents, and will greatly affect the performance and service life of masonry structures [1]. Therefore, it is of …

Apr 16, 2025 · Traditional methods of pothole detection rely on manual inspection, which is not only inefficient but also costly. This paper proposes an intelligent road crack detection and …

Nov 1, 2023 · In this paper, a new automated method for crack detection, segmentation, and measurement is proposed, while the crack detection is integrated with segmentation to end-to …

Crack detection and segmentation are incredibly useful in various industrial applications, from infrastructure maintenance to quality control in manufacturing. By accurately identifying and …

Dec 17, 2024 · Learn which NDT methods and tools work best for surface and subsurface-level crack detection in industrial assets.

Jul 30, 2024 · Methods In this survey paper, we present a comprehensive analysis of recent advancements and developments in crack detection technologies for structures, with a specific …

Contour Detection for Localization: Apply contour detection on the predicted crack masks to effectively outline and visualize cracks. Real-Time Detection: Implement real-time crack …

Oct 31, 2018 · In this paper, we propose DeepCrack-an end-to-end trainable deep convolutional neural network for automatic crack detection by learning high-level features for crack …

Aug 9, 2024 · Based on the main research methods of the 120 documents, we classify them into three crack detection methods: fusion of traditional methods and deep learning, multimodal …

Crack detection is essential for maintaining the safety and durability of infrastructure like bridges and buildings. Traditional methods, relying on manual inspections and basic photographic …

Mar 3, 2021 · The focus of our work is the detection of cracks on photos from masonry surfaces both on patch and pixel level. More details on our research can be found in our open access …

4 days ago · The optimized BE layer, enriched with intensity and color information, enabled crack detection through Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and …

Jan 1, 2022 · This article presents a review of CNN implementation on civil structure crack detection.

Mar 11, 2014 · As a consequence, numerous crack detection and characterization techniques have been researched and developed in the past decades in the areas of SHM and non …

Aug 14, 2021 · Apart from image processing, machine learning methods are being increasingly applied to ensure better performance outcomes and robustness in crack detection. This paper …

Through this project, we aim to build a reliable and efficient system for detecting cracks in buildings, enhancing safety, and reducing long-term maintenance costs. We also aim to …

Cracks are irregular line structures that are of interest in many computer vision applications. Crack detection (e.g., from pavement images) is a challenging ta

Nov 21, 2022 · Computer vision-based crack analysis for civil infrastructure has become popular to automatically process inspection imaging data for crack detection, localisation and …

Jul 2, 2022 · Researchers have explored automated crack detection in concrete infrastructures, emphasizing crack identification, categorization, crack length, and width measurement.

A multi-feature integration method based on a second-order multivariate regression analysis is proposed for the prediction of fatigue crack lengths using sensor measurements. The model …

Jan 27, 2022 · In this paper, a comprehensive literature review of deep learning-based crack detection studies and the contributions they have made to the field is presented.