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Y.T. Wei, H.Y. Hong, X. H. Zhang and J. Y. Yu, “A New Method for Automatic Detection of Rut Feature Based on Road Laser Images,” Multispectral Image Acquisition and Processing, Proceedings of SPIE, Vol. 7494, 2009.

has been cited by the following article:

  • TITLE: Image Preprocessing Methods to Identify Micro-cracks of Road Pavement

    AUTHORS: Hui Wang, Zhang Chen, Lijun Sun

    KEYWORDS: Pavement Distress Automatic Detection; Inconspicuous Distress; Micro-crack; Laser Light Image; Image-preprocessing

    JOURNAL NAME: Optics and Photonics Journal, Vol.3 No.2B, July 18, 2013

    ABSTRACT: 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.