CrackF-Net: a pixel-level segmentation network for pavement crack detection
Published 2023 View Full Article
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Title
CrackF-Net: a pixel-level segmentation network for pavement crack detection
Authors
Keywords
-
Journal
JOURNAL OF ELECTRONIC IMAGING
Volume 32, Issue 06, Pages -
Publisher
SPIE-Intl Soc Optical Eng
Online
2023-11-03
DOI
10.1117/1.jei.32.6.063002
References
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Related references
Note: Only part of the references are listed.- FFEDN: Feature Fusion Encoder Decoder Network for Crack Detection
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- Pavement distress detection and classification based on YOLO network
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- (2019) Sandeep Sony et al. Structural Control & Health Monitoring
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- Detection of Asphalt Pavement Potholes and Cracks Based on the Unmanned Aerial Vehicle Multispectral Imagery
- (2018) Yifan Pan et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
- (2018) Qin Zou et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Autonomous concrete crack detection using deep fully convolutional neural network
- (2018) Cao Vu Dung et al. AUTOMATION IN CONSTRUCTION
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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- (2017) Saining Xie et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Automatic Road Crack Detection Using Random Structured Forests
- (2016) Yong Shi et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Mathematical morphology for TOFD image analysis and automatic crack detection
- (2014) Thouraya Merazi-Meksen et al. ULTRASONICS
- Automatic Road Defect Detection by Textural Pattern Recognition Based on AdaBoost
- (2011) Aurélien Cord et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Modeling of micro-crack growth during thermal shock based on microstructural images of thermal barrier coatings
- (2009) Shen Wei et al. COMPUTATIONAL MATERIALS SCIENCE
- Eggshell crack detection using a wavelet-based support vector machine
- (2009) Xiaoyan Deng et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Application of a new image segmentation method to detection of defects in castings
- (2008) Yinggan Tang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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