A Neural network based technique for automatic classification of road cracks
conference contributionposted on 2017-12-06, 00:00 authored by J Bray, X Li, W He, Brijesh Verma
This paper presents a neural network based technique for the classification of segments of road images into cracks and normal images. The density and histogram features are extracted. The features are passed to a neural network for the classification of images into images with and without cracks. Once images are classified into cracks and non-cracks, they are passed to another neural network for the classification of a crack type after segmentation. Some experiments were conducted and promising results were obtained. The selected results and a comparative analysis are included in this paper.
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
Number of Pages6
Place of PublicationPiscatway, NJ
External Author AffiliationsCanal Industrial Pty. Ltd; Faculty of Business and Informatics; University of Queensland;