Computer Science ›› 2017, Vol. 44 ›› Issue (1): 300-302, 313.doi: 10.11896/j.issn.1002-137X.2017.01.055

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Algorithm of Accelerated Cracks Detection Based on Improved Percolation Model in Concrete Surface Image

QU Zhong, GUO yang and JU Fang-rong   

  • Online:2018-11-13 Published:2018-11-13

Abstract: Due to concrete surface roughness,uneven illumination,shadows,complex background and other disruptive factors,the traditional concrete crack detection method based on image processing cannot accurately detect concrete cracks,especially unclear cracks and some tiny cracks.Crack detection method based on percolation model which fully considered the low brightness and slenderness features of cracks can accurately detect unclear and tiny cracks.But this method is time-consuming.In order to solve these problems,an improved algorithm of image crack inspection based on percolation model was proposed in the article,which can reduce processing time through reducing the number of percolated pixels.Experimental results show that the proposed algorithm in this article can significantly accelerate crack detection and maintain a high detection precision.

Key words: Image process,Crack detection,Overlapped block,Percolation model,Pre-extraction,De-noise

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