Cost-effective system for detection and quantification of concrete surface cracks by combination of convolutional neural network and image processing techniques

Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning

(2020) Dongho Kang et al.   AUTOMATION IN CONSTRUCTION

Image-Based Concrete Crack Detection Using Convolutional Neural Network and Exhaustive Search Technique

(2019) Shengyuan Li et al.   Advances in Civil Engineering

Robust Pixel-Level Crack Detection Using Deep Fully Convolutional Neural Networks

(2019) Mohamad Alipour et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Unified Approach to Pavement Crack and Sealed Crack Detection Using Preclassification Based on Transfer Learning

(2018) Kaige Zhang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

(2018) Sattar Dorafshan et al.   CONSTRUCTION AND BUILDING MATERIALS

Enhanced probabilistic neural network with local decision circles: A robust classifier

(2018) Mehran Ahmadlou et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Pixel-Wise Crack Detection Using Deep Local Pattern Predictor for Robot Application

(2018) Yundong Li et al.   SENSORS

Data-driven vision-based inspection for reinforced concrete beams and slabs: Quantitative damage and load estimation

(2018) Rouzbeh Davoudi et al.   AUTOMATION IN CONSTRUCTION

Pixel-level crack delineation in images with convolutional feature fusion

(2018) FuTao Ni et al.   Structural Control & Health Monitoring

Transfer learning on convolutional activation feature as applied to a building quality assessment robot

(2017) Lili Liu et al.   International Journal of Advanced Robotic Systems

Vision-based detection of loosened bolts using the Hough transform and support vector machines

(2016) Young-Jin Cha et al.   AUTOMATION IN CONSTRUCTION

Automated Crack Detection on Concrete Bridges

(2016) Prateek Prasanna et al.   IEEE Transactions on Automation Science and Engineering

Automatic Road Crack Detection Using Random Structured Forests

(2016) Yong Shi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Improvement of Crack-Detection Accuracy Using a Novel Crack Defragmentation Technique in Image-Based Road Assessment

(2016) Liuliu Wu et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Vision-Based Automated Crack Detection for Bridge Inspection

(2015) Chul Min Yeum et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Image-based retrieval of concrete crack properties for bridge inspection

(2013) R.S. Adhikari et al.   AUTOMATION IN CONSTRUCTION

Defect Detection in Reinforced Concrete Using Random Neural Architectures

(2013) J.B. Butcher et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Road Crack Detection Using Visual Features Extracted by Gabor Filters

(2013) Eduardo Zalama et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Image-Based Automated 3D Crack Detection for Post-disaster Building Assessment

(2013) Matthew M. Torok et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Automatic Road Crack Detection and Characterization

(2012) Henrique Oliveira et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Robust Automated Concrete Damage Detection Algorithms for Field Applications

(2012) David Lattanzi et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Concrete Crack Detection by Multiple Sequential Image Filtering

(2011) Takafumi Nishikawa et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

CrackTree: Automatic crack detection from pavement images

(2011) Qin Zou et al.   PATTERN RECOGNITION LETTERS

Beamlet Transform-Based Technique for Pavement Crack Detection and Classification

(2010) L. Ying et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Flaw detection in radiographic weldment images using morphological watershed segmentation technique

(2008) Alaknanda et al.   NDT & E INTERNATIONAL