An efficient and reliable coarse-to-fine approach for asphalt pavement crack detection
作者：
Highlights：
• A coarse-to-fine asphalt pavement crack detection approach is developed.
• A new description of the cracks is proposed based on the spatially clustered pixels.
• An improved adaptive thresholding method is presented for image segmentation.
• A new concept Region of Belief (ROB) is introduced to facilitate the detection.
• A novel region growing algorithm is propounded for the crack detection.
摘要
•A coarse-to-fine asphalt pavement crack detection approach is developed.•A new description of the cracks is proposed based on the spatially clustered pixels.•An improved adaptive thresholding method is presented for image segmentation.•A new concept Region of Belief (ROB) is introduced to facilitate the detection.•A novel region growing algorithm is propounded for the crack detection.
论文关键词：Pavement crack detection,Adaptive thresholding,Image segmentation,Region growing algorithm
论文评审过程：Received 14 September 2015, Revised 24 May 2016, Accepted 20 November 2016, Available online 7 December 2016, Version of Record 16 December 2016.
论文官网地址：https://doi.org/10.1016/j.imavis.2016.11.018
