Smart Informatix Laboratory

Home

Enhanced Crack Width Measurement

In this study a new contact-less crack quantification methodology, based on computer vision and image processing concepts, is introduced. In the proposed approach, a segmented crack is correlated with a set of proposed strip kernels. For each centerline pixel, the minimum computed correlation value is divided by the width of the corresponding strip kernel to compute the effective crack thickness. In order to obtain more accurate results, an algorithm is proposed to compensate for perspective errors.

Related Publication

Mohammad R. Jahanshahi, Farrokh Jazizadeh, Sami F. Masri and Burcin Becerik-Gerber, (2013), "Unsupervised approach for autonomous pavement defect detection and quantification using an inexpensive depth sensor," Journal of Computing in Civil Engineering, American Society of Civil Engineers (ASCE), Vol. 27, No. 6, November 2013, 743-754.