AUTOMATIC IMAGE RECOGNITION OF PAVEMENT DISTRESS FOR IMPROVING PAVEMENT INSPECTION

Automatic inspection of pavement cracking distress

15. Supplementary Notes Project performed in cooperation with the Texas Department of Transportation and the Federal Highway Administration. Project Title: Implementation of Automated Pavement Distress Rating Systems 16. Abstract This paper presents the image-processing algorithm customized for high-speed, real-time inspection of pavement cracking. In the algorithm, a pavement image is divided ...

Pavement distress image recognition using k-means and classification algorithms

Road pavement maintenance today relies mainly on manual pavement condition inspection and distress rating; however, this manual method is costly, labour-intensive, time-consuming, and dangerous to inspectors and may affect traffic flows. Moreover, such method is very subjective and may have a high degree of variability, being unable to provide meaningful information. Additionally, since using t...

Investigation of Image Archiving for Pavement Surface Distress Survey

Algorithms for Pavement Distress Classification by Video Image Analysis

A fundamental component of computer-based video image analysis for pavement distress evaluation is identification of the type of distress from geometric and textural properties of an area of interest identified during image analysis. This study describes the algorithms used to identi_fy and classify the most common pavement distress types once a possible distress region is identified on an imag...

Pavement Distress Images Using Fractals

The vast amount of data generated by automated surface distress evaluation equipment far exceeds the storage capabilities of current digital data storage systems. A study using fractals is being carried out to alleviate the data storage problem, since fractal image compression offers the largest compression ratio of the available image compression algorithms. This paper discusses the use of fra...