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首页> 外文期刊>International journal of innovative computing, information and control >A VALIDATION ANALYSIS OF THE SUBMILLIMETER-WIDTH CONCRETE CRACK DETECTION BASED ON MORPHOLOGICAL COMPONENT ANALYSIS AND ANISOTROPIC DIFFUSION
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A VALIDATION ANALYSIS OF THE SUBMILLIMETER-WIDTH CONCRETE CRACK DETECTION BASED ON MORPHOLOGICAL COMPONENT ANALYSIS AND ANISOTROPIC DIFFUSION

机译：A VALIDATION ANALYSIS OF THE SUBMILLIMETER-WIDTH CONCRETE CRACK DETECTION BASED ON MORPHOLOGICAL COMPONENT ANALYSIS AND ANISOTROPIC DIFFUSION

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摘要

Abnormality detection in an early stage is a crucial issue to maintain social concrete infrastructures. The submillimeter-width concrete crack detection is the inevitable mission to significantly reduce the human burden; however, conventional image processing methods do not reach the same level of human inspections in senses of coverage ratios and hit rates. In the present study, we hypothesized that a concrete crack detection based on the morphological component analysis (MCA) can be upgraded with after-treatments for contrast enhancements by using anisotropic diffusion and related techniques, to be able to detect cracks on images even for less than 10 pixels in width as a submillimeter range. The traditional MCA method was modified to decompose the image into its coarse and fine components and the coefficient of anisotropic diffusion was designed to find cracks in high gradient and low gray level regions. The modified MCA and anisotropic diffusion with the Sobel edge detector were embedded to a consistent workflow to detect submillimeter cracks in image. In the accuracy verification, comparisons among the proposed method, conventional methods and the human detection demonstrated that the proposed method had a noteworthy detection efficiency with high coverage ratios and hit rates over 60% in total. It can contribute to the actual field work of the concrete crack detection.

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