Studying of road crack image detection method based on the mathematical morphology
H Youquan, Q Hanxing, W Jian, Z Wei… - 2011 4th International …, 2011 - ieeexplore.ieee.org
H Youquan, Q Hanxing, W Jian, Z Wei, X Jianfang
2011 4th International Congress on Image and Signal Processing, 2011•ieeexplore.ieee.orgAccording to the characteristics of pavement crack images, this paper introduce
mathematical morphology into the applications of road image analysis and processing, in
addition propose a new method combined with the mathematical morphology to detect the
road crack image. Experimental results show that the method can not only effectively
suppress noise, but also clearly and accurately extract the edge of the image, and solve the
problem of image edge's damage caused by the removal of noise. Enhance the connectivity …
mathematical morphology into the applications of road image analysis and processing, in
addition propose a new method combined with the mathematical morphology to detect the
road crack image. Experimental results show that the method can not only effectively
suppress noise, but also clearly and accurately extract the edge of the image, and solve the
problem of image edge's damage caused by the removal of noise. Enhance the connectivity …
According to the characteristics of pavement crack images, this paper introduce mathematical morphology into the applications of road image analysis and processing, in addition propose a new method combined with the mathematical morphology to detect the road crack image. Experimental results show that the method can not only effectively suppress noise, but also clearly and accurately extract the edge of the image, and solve the problem of image edge's damage caused by the removal of noise. Enhance the connectivity of the fractures, sequentially further improve the system's detection accuracy.
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