Edge detection is an alternative method in the process for identifying and classifying
pavement cracks for automated pavement evaluation systems. A number of edge detectors …

We present a new algorithm based on wavelet transforms for automated segmentation of
pavement (road surface) condition data. We developed a denoising scheme to remove …

A two-step method–-wavelet transform followed by Radon transform–-is proposed for
pavement distress classification. First, a pavement image is decomposed into different …

This paper presents a new approach in automation for crack detection on pavement surface
images. The method is based on the continuous wavelet transform. In the first step, a …

An automated pavement inspection system consists of image acquisition and distress image
processing. The former is accomplished with imaging sensors, such as video cameras and …

In this paper we present a detection algorithm of road cracks in several directions and each
layer for pavement images in contourlet domain. Firstly, a pavement image is converted to a …

Potholes are one type of pavement surface distresses whose assessment is essential for
developing road network maintenance strategies. Existing methods for automatic pothole …

An accurate and reliable pavement crack detection system plays an important role in
evaluating pavement condition and providing needed information for decision making for …

Pavement condition assessment is essential when developing road network maintenance
programs. In practice, the data collection process is to a large extent automated. However …

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 …