Automatic Cracking Extraction for Pavement Surface Image.

Image Analysis for Automated Pavement Cracking Evaluation

Image processing technology plays an important part in the analysis and evaluation of pavement surface cracking. The pattern recognition method for crack geometry proposed in this paper makes it possible to extract data necessary for evaluating the extent and severity of cracking quantitatively. In this newly developed method, low-resolution images are used first to extract crack regions, and t...

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 Cracking Detection Using an Anisotropy Measurement

Automatic pavement cracking detection is a part of road maintenance and rehabilitation strategies. Cracks detection is one of the main features used by road authorities to manage efficiently its networks. Different systems are available to perform road analysis. We give a short description of some of them. Apparatus which was used to provide our images is described with more details. Road surfa...

Fuzzy Neighbor Voting for Automatic Image Annotation

With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. Automatic image annotation (AIA) or refers to attaching words, keywords or comments to an image or to a selected part of it. In this paper,...

Investigation of Image Archiving for Pavement Surface Distress Survey