pavement crack classification

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PAVEMENT CRACK CLASSIFICATION BASED ON TENSOR …

pavement crack classification such as facial recognition (Vasilescu and Terzopoulos 2002) and handwritten digit recognition (Savas and Elden 2006).

Automatic Pavement Crack Detection and Classification ...

For crack classification, a novel characterization algorithm is developed to classify the type of crack after detection. The crack segment branches are then merged and classified into four types: transversal, longitudinal, block, and alligator; the severity levels of cracks are assessed by calculating the average width and distance between the crack branches.

Cited by: 2

Efficient pavement crack detection and classification ...

Jun 13, 2017 · Efficient pavement crack detection and classification Abstract. Each year, millions of dollars are invested on road maintenance and reparation all over the world. In order to... Introduction. Road safety is one of the main concerns nowadays. Due to their intensive general use, to keep road... ...

Cited by: 77

Pavement crack classification based on tensor ...

Nov 01, 2013 · This paper presents tensor factorization as a means of classifying cracks in pavements. Several crack classification algorithms exist and they are mostly based on other machine learning methods. These may come with their own problems which may be classification errors and long processing times. Tensors are multidimensional arrays.

Cited by: 7

(PDF) Efficient pavement crack detection and classification

There are several crack types, but the y are mainly cate- gorized into three groupings: transverse cracks, longitudi- nal cracks, and alligator (or mesh) cracks [1, 19].

ASPHALT PAVEMENT CRACK CLASSIFICATION: A …

pavement management system, describe a ule-based r system thatincorporates knowledge about individual crack patterns and classifies by the process of elimination. In addition to classifying cracking by type, it is also capable of quantifying the crack severity with parameters such as length, wi dth, and area.

Crack Detection and Classification in Asphalt Pavement ...

Nov 25, 2018 · Crack Detection and Classification in Asphalt Pavement Images using Deep Convolution Neural Network. Abstract: Pavement distress particularly cracks, are the most significant type of pavement distress that has been studied for many years due to the complicated pavement crack condition. The continuous severity of crack can cause a dangerous environment that may affect the …

Pavement Crack Detection and Segmentation Method Based …

Classification network precision–recall (PR) curves for three types of pavement crack recognition: (a) transverse crack (average accuracy: 0.868); (b) longitudinal crack (average accuracy: 0.876); and (c) alligator crack (average accuracy: 0.855).

Author: Xiaoran Feng, Liyang Xiao, Wei Li, Lili Pei, Zhaoyun Sun, Zhidan Ma, Hao Shen, Huyan Ju

Pavement crack image acquisition methods and crack ...

Dec 01, 2019 · In Fig. 1, there are four typical types of crack images on airport pavement: (a) a densely distributed crack network, in which the cracks cut pavement into multiple blocks (particles) with different sizes and shapes, which will be dangerous for taking on and taking off, so it is important to detect and classify the cracks before they are developed seriously. Of course, they are hard to detect …

Cited by: 8

Comparison of Supervised Classification Techniques for ...

Jan 01, 2016 · Abstract. In this study, the application of four classification techniques for computer vision–based pavement crack detection systems was investigated. The classification methods—artificial neural network (ANN), decision tree, k –nearest neighbor, and adaptive neuro-fuzzy inference system (ANFIS)—were selected on the basis of the complexity and clarity of their procedures.

Cited by: 21

GitHub - fyangneil/pavement-crack-detection

Jun 03, 2019 · Pavement crack detection: dataset and model. The project is used to share our recent work on pavement crack detection. For the details of the work, the readers are refer to the paper "Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection" (FPHB), T …

A novel method for asphalt pavement crack classification ...

Apr 18, 2018 · These two features of crack object number and orientation can potentially be helpful for pavement crack classification. The reason is that longitudinal and transverse cracks tend to have the orientations of 90° and 0°, respectively. In addition, the number of crack objects in the case of these two crack types should be 1 or a small number.

Cited by: 32

The Classification of Pavement Crack Image Based on ...

Keywords: Pavement Crack, Beamlet Algorithm, Classification, Transform. 1. Introduction Pavement distress, the various defects such as cracks illustrated in Fig.1, represent a significant engineering and economic concern. Pavement crack image classification is important in an automated pavement inspection system, because it

Cited by: 1

Classification of pavement crack types based on square ...

The experimental results show that the classification function of the crack type of the pavement is better. The results show that the accuracy of the identification and classification of block and crack cracks is obviously better than the traditional classification methods such as …

Pavement Cracking Detection and Classification Based on 3D ...

Sep 05, 2020 · Linear crack categories and intensities are classified according to an orientation angle to the length-width ratio, while netted cracks are recognized on the basis of block features. Meanwhile, the optimized spatial distance between the crack subblocks is calculated to precisely locate pavement crack.

Author: Hong Lang, Jian John Lu, Yuexin Lou, Shendi Chen

Pavement Crack Classification Based on Tensor Factorization

This thesis outlines the importance of tensor analysis and decomposition as an alternative means of pavement crack classification. Tensors are multidimensional arrays and are generalizations of scalars, vectors and matrices. Two main types of cracks; longitudinal and transverse cracking are considered in …

Cited by: 7

Automatic Recognition of Asphalt Pavement Cracks Based on ...

There are five classes of pavement condition, namely, alligator crack (AC), diagonal crack (DC), longitudinal crack (LC), noncrack (NC), and transverse crack (TC). Each class label contains 300 image samples; therefore, the total number of data instances in the collected data set is 1500.

Cited by: 10

Adaptive road crack detection system by pavement ...

Regarding non-crack features detection, results show that the introduction of such module reduces the impact of false positives due to non-crack features up to a factor of 2. In addition, the observed performance of the crack detection system is significantly boosted by adapting the parameters to the type of pavement.

Cited by: 233

A neural network-based methodology for pavement crack ...

Based on mean crack width, severity could be categorized, for example, into low, moderate, or high severity, according to desired criteria.Extent for longitudinal and transverse cracking is measured in terms of the total length of crack segments in each image, and is computed as follows: crack length = d c 2 X0 meters, i j where d = the equivalent width or length of a tile, in meters.

Beamlet Transform‐Based Technique for Pavement Crack ...

The crack segments are then linked together and classified into four types: vertical, horizontal, transversal, and block. Simulation results show that the method is effective and robust in the extraction of cracks on a variety of pavement images.

Cited by: 120

Pavement crack classification based on chain code

In order to classify the pavement cracks in the pavement crack images, a new chain code based classification method are proposed. In this method, the preprocessing of the crack images is used to remove the unwanted object, noise and enhance the cracks. Secondly, the max entropy thresholding method is used to get the binary pavement crack images.

Reduced Featured Based Projective Integral for Road Cracks ...

These features fed machine learning algorithms to classify the type of crack that may appear in a pavement image. The obtained results proved the relevance of our reduced features. We achieved the best successful classification rate of 93.4% using the Support Vector Machine (SVM) classifier and an accuracy of 94.7% for crack detection. This paper presents an enhanced and robust approach to …

Cited by: 1

Pavement Crack Classification via Spatial Distribution ...

Mar 20, 2011 · Pavement crack types provide important information for making pavement maintenance strategies. This paper proposes an automatic pavement crack classification approach, exploiting the spatial distribution features (i.e., direction feature and density feature) of the cracks under a neural network model. In this approach, a direction coding (D-Coding) algorithm is presented to encode the crack ...

Cited by: 18

Automatic pavement crack classification on two-dimensional ...

May 01, 2019 · Indeed, our proposed package is composed of two methods: crack detection and crack classification. The first method consists in detecting the cracks on images acquired by the VIAPIX® system developed by our company ACTRIS. To do so, we are based on our unsupervised approach cited in for road crack detection on two-dimensional pavement images.

Author: Wissam Kaddah, Marwa Elbouz, Yousri Ouerhani, Ayman Alfalou, Marc Desthieux

AUTOMATED PAVEMENT IMAGING PROGRAM (APIP) …

Performance project (SHRP-P-338, 1993), cracks for asphalt pavement can be classified into six types, namely fatigue crack, block crack, edge crack, longitudinal crack, reflection crack ...

CiteSeerX — ASPHALT PAVEMENT CRACK CLASSIFICATION: …

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Asphalt pavement distress, the various defects such as holes and cracks, represent a significant engineering and economic concern. It is estimated that pavement defects cause damage costing $10 billion each year in the United States alone [10]. One important step in managing this problem is accurately assessing the ...

Automated Classification Algorithm of Pavement Crack …

First, crack contours were vectorized, thus a single crack area was separated from the others, whose crack features could be calculated and analyzed. Second, new crack features such as orientation angle, lumpiness and cavity were extracted. Then, pavement classification features were selected such as cavity, length-width ratio and significant ...

Automated Real-Time Pavement Crack Detection and ...

Time Pavement Crack Detection and Classification,” contract No. NCHRP-111. The objective of this project was to apply the stereovision technique to detect pavement distresses based on a previously completed project NCHRP-88. The research work was divided in two stages. Stage I …

Automated Real-Time Pavement Crack Detection and ...

Corpus ID: 110252831. Automated Real-Time Pavement Crack Detection and Classification @article{Wang2007AutomatedRP, title={Automated Real-Time Pavement Crack Detection and Classification}, author={K. Wang and W. Gong}, journal={NCHRP-IDEA …

A framework for pavement crack detection and classification

A framework for pavement crack detection and classification Habib, A.; Kunt, M. M. Abstract. Pavement damage detection is indeed a very important process for the management of roads. Nowadays, scholars are focusing on finding a simple and accurate way to detect road cracks aiming to increase its life span and improve its safety and quality.

Efficient pavement crack detection and classification (pdf ...

In the second stage, a crack detection and classification method is presented in a single step. In a future, the system described in this work is intended to be used to build a complete autonomous system. This paper is organized as follows: Section 2 overviews briefly the related work on pavement crack

Pavement Crack Classification Based on Tensor ...

This thesis outlines the importance of tensor analysis and decomposition as an alternative means of pavement crack classification. Tensors are multidimensional arrays and are generalizations of scalars, vectors and matrices. Two main types of cracks; longitudinal and …

Automated Classification Algorithm of Pavement Crack …

First, crack contours were vectorized, thus a single crack area was separated from the others, whose crack features could be calculated and analyzed. Second, new crack features such as orientation angle, lumpiness and cavity were extracted. Then, pavement classification features were selected such as cavity, length-width ratio and significant ...

Classification of Asphalt Pavement Cracks Using Laplacian ...

Classification of Asphalt Pavement Cracks Using Laplacian Pyramid-Based Image Processing and a Hybrid Computational Approach Nhat-Duc Hoang; Affiliations Nhat-Duc Hoang Faculty of Civil Engineering, Institute of Research and Development, Duy Tan University, P809-03 Quang Trung, Da Nang, Vietnam ...

A NEURAL NETWORK-BASED METHODOLOGY FOR PAVEMENT CRACK ...

A NEURAL NETWORK-BASED METHODOLOGY FOR PAVEMENT CRACK DETECTION AND CLASSIFICATION. This paper presents a methodology for automating the processing of highway pavement video images using an integration of artificial neural network models with conventional image-processing techniques.

Beamlet Transform‐Based Technique for Pavement Crack ...

The crack segments are then linked together and classified into four types: vertical, horizontal, transversal, and block. Simulation results show that the method is effective and robust in the extraction of cracks on a variety of pavement images.

Field Manual for Crack Sealing in Asphalt Pavements …

ability. Regular repair of pavement cracks is one of the main methods of preventive maintenance, since failure to repair cracks in a timely fashion can lead to accelerated deterioration of the pavement in the form of crack growth, spalls, secondary cracks, and potholes. The main causes of pavement cracks are thermal movements and fatigue

GitHub - fyangneil/pavement-crack-detection

Pavement crack detection: dataset and model. The project is used to share our recent work on pavement crack detection. For the details of the work, the readers are refer to the paper "Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection" (FPHB), T-ITS 2019.

AUTOMATIC PAVEMENT CRACK DETECTION AND …

Next, a classification step distinguishes cracks according to their types, notably longitudinal, transversal, diagonal or miscellaneous cracks. The experimental results, obtained using images from Portuguese roads, are encouraging for the development of automatic pavement crack detection systems. Index Terms - road pavement cracks, pattern ...

AUTOMATED PAVEMENT IMAGING PROGRAM (APIP) …

AUTOMATED PAVEMENT IMAGING PROGRAM (APIP) FOR PAVEMENT CRACKS CLASSIFICATION AND QUANTIFICATION – A PHOTOGRAMMETRIC APPROACH M. Mustaffara*, T. C. Lingb, O. C. Puanb aSurveying Unit, Faculty of Civil Engineering, Universiti Teknologi Malaysia - [email protected] bDept. of Geotechnics and Transportation, Universiti Teknologi Malaysia …

Automatic Classification for Pavement Cracks for Mobile ...

Automatic Classification for Pavement Cracks for Mobile Mapping Data FIG Working Week 2016 TS 08B - Advance in Photogrammetry and other Measurement Methods Bara’ Al-Mistarehi, Volker Schwieger Institute of Engineering Geodesy (IIGS), University of Stuttgart, Germany Christchurch, New Zealand, May 5th, 2016 Presented at the FIG Working Week 2016,May 2-6, 2016 in Christchurch, …

GitHub - titanmu/RoadCrackDetection

Automatic Pavement Crack Detection for Japan, Czech Republic and India. Step 1: Download the complete repository. Step 2: Install all the dependencies from requirements.txt ... , title={Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis}, author={Mandal, Vishal and Mussah, Abdul Rashid and Adu-Gyamfi, Yaw ...

Deep Learning in Data-Driven Pavement Image Analysis and ...

Wang and Hu proposed a CNN-based pavement crack classification method by first segmenting the pavement image into grids of different sizes, detecting the presence of cracks, and then classifying the crack type (longitudinal, transverse, and alligator crack) after analyzing the distribution of grids using principal component analysis (PCA). For ...

Adaptive Road Crack Detection System by Pavement ...

Saar, T; Talvik, O. Automatic asphalt pavement crack detection and classification using neural networks. Proceedings of the 12th Biennial Baltic Electronics Conference (BEC10), Tallinn, Estonia, 4–6 …

4 Types of Pavement |Flexible and Rigid Pavement Full ...

Nov 11, 2020 · Types of pavement are mainly four. I will show you the each of them in detail with the advantages and disadvantages. The flexible pavement layer may reflect the non recoverable as well as recoverable deformations of the lower layer including subgrade on the upper layers and also to the pavement surface. The vertical compressive stress…

Automatic Classification for Pavement Cracks for …

Automatic Classification for Pavement Cracks for Mobile Mapping Data Bara' AL-MISTAREHI and Volker SCHWIEGER, Germany 1. INTRODUCTION Cracking is defined as an individual (single) crack or a network of cracks (Block type) or a crack

Pavemetrics | Laser Crack Measurement System (LCMS)

Pavemetrics ® Laser Crack Measurement System (LCMS ®-2) is the ultimate single-pass 3D sensor for pavement inspection.The LCMS-2 is able to automatically geo-tag, measure, detect and quantify all key functional parameters of pavement in a single pass, including (but not limited to): cracking, rutting, texture, potholes, bleeding, shoving, raveling and roughness.

PAPER OPEN ACCESS Related content Crack …

2.2. Crack Classification In this part, crack candidate regions are to be grouped into two classes: namely, cracks and non-cracks. To achieve this, a machine learning based approach is followed as geometric properties of crack and non-crack regions differ from each other. For example, longitudinal cracks are thin and vertically long,

US6615648B1 - Road pavement deterioration inspection ...

A system for acquiring, processing, storing, analyzing and reporting data relating to the condition of a road or other pavement surface ( 102 ) in real time. The system includes a digital camera ( 104 ) mounted on a vehicle and positioned relative to a pavement surface ( 102 ) so as to capture images of the pavement surface ( 102 ) while the camera ( 104 ) is moving relative to the surface ...

Automatic Pavement Crack Detection Based on Image ...

Jul 05, 2019 · To verify the effectiveness of SVM classification algorithm based on LBP features in pavement crack classification. In this experiment, the training sample set includes sixteen images of three different crack type, which were randomly collected from road. And the testing sample set includes thirty-four images of different crack type.

Crackscope-Automatic Pavement Cracking Inspection …

The CrackScope system is an automated pavement crack rating system consisting of a digital line scan camera, laser-line illuminator, and proprietary crack detection and classification software. CrackScope is able to perform real-time pavement inspection with 100% distance coverage at …

Pavement Crack Detection using Convolutional Neural ...

Pavement 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 ...

Faculty Profile | Civil and Environmental Engineering

“Pavement Crack Classification Based on Tensor Factorization”, Journal of Construction and Building Materials, Vol 48, pp 853-857. Adu-Gyamfi, Y., Carillo, R., Attoh-Okine, N. O. and Gonzales, A. “A Multi-Resolution Information Mining for Pavement Crack Image Analysis,” ASCE Journal of Computing in Civil Engineering, Vol 26, No.6, pp ...

CiteSeerX — SUPERVISED STRATEGIES FOR CRACKS DETECTION …

An automatic cracks detection system based on road pavement images, as proposed here, can speed up the process and reduce results ’ subjectivity. The paper confronts six super-vised classification strategies, three parametric and three non-parametric.

(PDF) Automated pavement imaging program (APIP) for ...

Automated pavement imaging program (APIP) for pavement cracks classification and quantification. Tung-Chai Ling. IntroductionThe evaluation of pavement condition is an important part in pavement management. Accurate evaluations would result in a better chance that resources will be effectively allocated, thus, yielding a better service ...

Surface Distresses Detection of Pavement Based on …

Pavement crack is the main form of early diseases of pavement. The use of digital photography to record pavement images and subsequent crack detection and classification has undergone continuous improvements over the past decade. Digital image processing has been applied to detect the pavement

[1802.02208] Automatic Pavement Crack Detection Based …

Feb 01, 2018 · Automated pavement crack detection is a challenging task that has been researched for decades due to the complicated pavement conditions in real world. In this paper, a supervised method based on deep learning is proposed, which has the capability of dealing with different pavement conditions. Specifically, a convolutional neural network (CNN) is used to learn the structure of the cracks …

Using Artifical Intelligence for Automating Pavement ...

Jul 05, 2019 · Thus, we demonstrate the capabilities of deep learning in pavement crack classification. 2 Materials and Methods. This section reviews the processing framework of the proposed crack detection and classification method. The processing framework in this study consists of three main parts: (1) creation of a labeled image dataset, (2) establish the ...

Effective Pavement Crack Delineation Using a Cascaded ...

Crack detection in surfaces is a critical structural health monitoring task. In fact, cracks are an early indication of the decaying of the structure that can lead to severe consequences. Manual inspection is time-consuming, costly, and contingent on the subjective judgment of inspectors.