FoSA: F* Seed-growing Approach for crack-line detection from pavement images

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• 作者：Qingquan  ; Li^a ;   ; ^b ;   ; ^{qqli@whu.edu.cn} ; Qin  ; Zou^a ;   ; ^b ;   ; ^{qinnzou@gmail.com} ; Daqiang  ; Zhang^c ; Qingzhou  ; Mao^a
• 关键词：Line detection ; Pavement crack ; Seed-growing ; Dynamic programming
• 刊名：Image and Vision Computing
• 出版年：2011
• 出版时间：November 2011
• 年：2011
• 卷：29
• 期：12
• 页码：861-872
• 全文大小：2289 K

文摘

Most existing approaches for pavement crack line detection implicitly assume that pavement cracks in images are with high contrast and good continuity. This assumption does not hold in pavement distress detection practice, where pavement cracks are often blurry and discontinuous due to particle materials of road surface, crack degradation, and unreliable crack shadows. To this end, we propose in this paper FoSA ?F* Seed-growing Approach for automatic crack-line detection, which extends the F* algorithm in two aspects. It exploits a seed-growing strategy to remove the requirement that the start and end points should be set in advance. Moreover, it narrows the global searching space to the interested local space to improve its efficiency. Empirical study demonstrates the correctness, completeness and efficiency of FoSA.