Standards of highway conservation and maintenance are improved gradually following the improvement of requirements of road service. Before obvious damage such as obvious cracking (block，transverse, longitudinal ) and rutting emerge, inconspicuous distress (micro-cracks, polishing, pockmarked) is generated previously. These inconspicuous distresses may provide basis and criteria for pavement preventive maintenance. Currently most of preventive conservation measures are determined by experienced experts in maintenance and repair of road after site visits. Thus method is difficult in operation, and has a certain amount of instability as it is based on experience and personal knowledge. In this paper, camera and laser were used for automated high-speed acquisition images. Methods to preprocess pavement image are compared. The pretreatment method suitable for analyze micro-cracks picture is elected, an effective way to remove shadow is also proposed.

Top: two original images (size: 256 × 256) of a street scene at

PDF) Hybrid Human-Artificial Intelligence Approach For Pavement

Causes of Cracks on Recently Constructed Flexible Pavements: A

Pavement Management Perspective on Integrating Preventive

PDF) Automatic Surface Crack Detection in Concrete Structures

PDF) Image Preprocessing Methods to Identify Micro-cracks of Road

Image Preprocessing Methods to Identify Micro-cracks of Road Pavement

Image Preprocessing Methods to Identify Micro-cracks of Road Pavement

Zhang CHEN The Education University of Hong Kong, Hong Kong

PDF) Automatic Surface Crack Detection in Concrete Structures

PDF) Automatic Surface Crack Detection in Concrete Structures

Comparing Automated Image-Based Crack Detection Techniques in

Automatic Surface Crack Detection in Concrete Structures Using

PDF) Automatic Surface Crack Detection in Concrete Structures