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CrackTree: Automatic crack detection from pavement images
Pattern Recognition Letters, 2012Pavement cracks are important information for evaluating the road condition and conducting the necessary road maintenance. In this paper, we develop CrackTree, a fully-automatic method to detect cracks from pavement images. In practice, crack detection is a very challenging problem because of (1) low contrast between cracks and the surrounding pavement,
Qin Zou 0001 +4 more
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Pavement Crack Detection Based on the Improved Faster-RCNN
2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2019Crack detection of road images is a critical technique for computer-aided road maintenance. Due to the inefficiency, poorly generalized under different illumination conditions or image noises, the existing crack detection methods are still not satisfactory in practical application scenarios. In our paper, we proposed a innovative crack detection method.
Cong Gou +3 more
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Pavement Crack Detection using Convolutional Neural Network
Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018, 2018Pavement crack detection is an important problem in road maintenance. There are many processing methods, including traditional and modern methods, solving this issue. Traditional methods use edge detection or some other digital image processing for crack detection, but these approaches are sensitive to many types of noise and unwanted objects on the ...
Nhung Thi Hong Nguyen +3 more
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Wavelet Packet Denoising for Pavement Surface Cracks Detection
2008 International Conference on Computational Intelligence and Security, 2008Removing noise from pavement images to improve the quality of images is an important step of pavement image processing. A novel noise reduction method based on wavelet packet for pavement images is presented. Firstly, the image is transformed into a wavelet packet domain.
Yongxia Zuo +2 more
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Road pavement crack automatic detection by MMS images
21st Mediterranean Conference on Control and Automation, 2013The research topic was to test different feature extraction methods to localize road pavement cracks useful to construct a spatial database for the pavement distress monitoring. Several images were acquired by means of a line scan camera that assembled in a Mobile Mapping System (MMS) allows tracking directly the position of the images by a GPS-INS ...
Adriano Mancini +3 more
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A Fast and Accurate Automated Pavement Crack Detection Algorithm
2018 26th European Signal Processing Conference (EUSIPCO), 2018Over the last 20 years, several crack detection algorithms have been developed to implement safe and efficient automated road condition survey (ARCS) systems. Although the current state-of-the-art algorithms can achieve a high level of accuracy, their computation time makes them infeasible to implement in real-time without massive parallelization. This
Anirban Chatterjee, Yi-Chang Tsai 0001
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Pavement Crack Image Detection based on Deep Learning
Proceedings of the 2019 3rd International Conference on Deep Learning Technologies, 2019Crack is one of the most common road diseases. Once it appears, the quality of road engineering will be greatly reduced and even cause road collapse. If the cracks can be found in the early stage of timely maintenance, it will greatly save maintenance costs. However, the range of image cracks on the actual pavement is too wide, the image clarity is not
Peng-Hui Lyu, Jun Wang, Rui Yuan Wei
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Pavement Crack Distress Detection Based on Image Analysis
2010 International Conference on Machine Vision and Human-machine Interface, 2010A detecting approach has been developed in view of the properties of cracks in the pavement image. Because of the uneven illumination, threshold causes difficulties in applications of pavement image segmentation. By analyzing the signal model, we can use bilinear interpolation to obtain the correction image based on the background subset which is ...
Lou Jing, Zang Aiqin
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Pavement crack detection based on texture feature
SPIE Proceedings, 2011A novel automatic pavement crack detection approach based on texture feature is proposed. The bidirectional multi-level median filter is applied in pretreatment process to eliminate noise while maintain the details of crack edge. Improved center-symmetric local binary pattern (ICS-LBP) texture feature, local correlation texture feature and relative ...
Xiuhua Zhang, Yanjun Chen, Hanyu Hong
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An Automatic Pavement Crack Detection System with FocusCrack Dataset
2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), 2022Xinyun Yan +6 more
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