Automated Pavement Crack Segmentation Using U-Net-based Convolutional Neural Network

7 Jan 2020Stephen L. H. LauEdwin K. P. ChongXu YangXin Wang

Automated pavement crack image segmentation is challenging because of inherent irregular patterns, lighting conditions, and noise in images. Conventional approaches require a substantial amount of feature engineering to differentiate crack regions from non-affected regions... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper