Crack Recognition and Segmentation Using Morphological Image-Processing Techniques for Flexible Pavements
- 1 January 2015
- journal article
- research article
- Published by SAGE Publications in Transportation Research Record: Journal of the Transportation Research Board
- Vol. 2523 (1), 115-124
- https://doi.org/10.3141/2523-13
Abstract
MorphLink-C is a novel image-processing algorithm to connect crack fragments that are a common problem in crack recognition applications. The algorithm consists of two subprocesses: ( a) the grouping of fragments by using a morphological dilation transform and ( b) the connection of fragments by using a morphological thinning transform. MorphLink-C can be used with various crack extraction methods to connect crack fragments in crack line paths and for complicated crack shapes, such as single cracks, branched cracks, block cracks, and alligator cracks. MorphLink-C also provides a simple but accurate way to estimate an averaged crack width that is important in measuring cracking severity. The proposed method was validated by using realistic road surface images in different pavement cracking conditions. The results of the statistical hypothesis test showed that the proposed method could improve crack detection accuracy with the proposed crack defragmentation algorithm.Keywords
This publication has 1 reference indexed in Scilit:
- A Pavement Crack Detection Method Combining 2D with 3D Information Based on Dempster‐Shafer TheoryComputer-Aided Civil and Infrastructure Engineering, 2013