Computer Science ›› 2014, Vol. 41 ›› Issue (11): 297-300.doi: 10.11896/j.issn.1002-137X.2014.11.058

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Algorithm of Image Crack Detection Based on Morphology and Region Extends

QU Zhong,LIN Li-dan and GUO Yang   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In a complex background,the interference of uneven illumination,concrete bubbles,shadows and other noise,results in false detection of cracks and varying degrees of crack fracture.To solve these problems and implement detecting cracks accurately,an algorithm of crack detection which combines mathematical morphology and region extends was proposed in this paper.Firstly,images collected on the natural conditions are preprocessed using the method of morpho-logy,and then Canny edge detection and morphology are combined to achieve the coarse detection of cracks.Secondly,the regional extension algorithm is adopted for accurate detection.Finally,the cracks are processed to make them natural.Experimental results show that the proposed algorithm can detect the cracks on concrete pavement cracks accurately and efficiently.

Key words: Crack detection,Preprocess,Canny edge detection,Morphology,Region extends

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