An efficient and reliable coarse-to-fine approach for asphalt pavement crack detection

详细信息    查看全文

• 作者：Dejin Zhang^a ; ^b ; Qingquan Li^a ; ^b ; Ying Chen^c ; Min Cao^c ; Li He^d ; ^{heli.edu@hotmail.com} ; Bailing Zhang^e
• 关键词：Pavement crack detection ; Adaptive thresholding ; Image segmentation ; Region growing algorithm
• 刊名：Image and Vision Computing
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：57
• 期：Complete
• 页码：130-146
• 全文大小：4682 K
• 卷排序：57

文摘

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.