Automatic quantification of crack patterns by image processing

Liu, Chun; Tang, Chao‐Sheng; Shi, Bin; Suo, Wen-Bin

doi:10.1016/j.cageo.2013.04.008

Cited by 250 publications

(88 citation statements)

References 11 publications

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“…The average grain size is ca. 5e8 mm, determined by the program CIAS (Liu et al, 2013). The grains are crystallographically randomly oriented, as optically estimated by gypsum plate.…”

Section: Fine-grained Quartz Masses a And Bmentioning

confidence: 99%

Repeated hydrothermal quartz crystallization and cataclasis in the Bavarian Pfahl shear zone (Germany)

Yilmaz

Prosser

Liotta

et al. 2014

Journal of Structural Geology

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“…The average grain size is ca. 5e8 mm, determined by the program CIAS (Liu et al, 2013). The grains are crystallographically randomly oriented, as optically estimated by gypsum plate.…”

Section: Fine-grained Quartz Masses a And Bmentioning

confidence: 99%

Repeated hydrothermal quartz crystallization and cataclasis in the Bavarian Pfahl shear zone (Germany)

Yilmaz

Prosser

Liotta

et al. 2014

Journal of Structural Geology

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“…Images were registered in ERDAS Imagine v8.5 using the GPS co-ordinate point based on 2nd order polynomial transformation and nearest neighbour resampling method. After coordinate correction, digital image processing and topological transformation, the geometric characteristics of crack patterns such as length, perimeter and area of each soil crack were extracted from the processed images (Liu et al 2013;Lee et al 2013;Jianhua et al 2015). Figure 2 represents the flowchart of proposed methodology.…”

Section: Image Acquisition Processing and Analysismentioning

confidence: 99%

Soil crack morphology analysis using image processing techniques

Shit¹,

Bhunia²,

Maiti

2015

Model. Earth Syst. Environ.

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The present paper demonstrated an image processing technique of surface soil crack analysis. The geometric features of cracks, such as width, length, and surface area are estimated. These parameters are important, because they influence both the soil hydraulics and mechanics. The crack intensity factor was introduced as a descriptor of the extent of surficial cracking. The correlation analysis indicates that area-weighted mean ratio of soil-crack area to perimeter and index r has a much closed positive relationship with cracks intensity and the area weighted mean of crack fractal dimension declines continuously as the degree of development of soil cracks increases, indicating that the degree of complexity of the soil cracks also gradually decreases. However, traditional visual assessment, which is the primary method in use, is slow and expensive. The present works involve image processing technique for the automatic detection and analysis of cracks in the digital image of a concrete surface.

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“…According to [15], the area of cracks from a digitized binary image was estimated by considering the total length of single line pixels and converting that into (cm²). The obtained crack area was then logarithmically transformed and expressed as Log (Crack Area).…”

Section: ( )mentioning

confidence: 99%

Characterizing Dessication Cracking of a Remolded Clay (<i>Eutric Vertisol</i>) Using the Fractal Dimension Approach

Lomeling¹,

Kenyi²,

Lodiong³

et al. 2016

OJSS

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Fractal dimension fd, was used as one of the parameters to describe dessication cracking pattern of a remolded Black Cotton soil (Eutric Vertisol). The fractal dimension computed from filtered, thinned and skeletonized binary images of soil cracks using the Fractal3 software provided an insight into temporal variability of fd as well as its relationship with the Crack Intensity Factor (CIF) and Soil Moisture Content (SMC). The results showed that even for single crack, the fd prior to filtering and thinning were higher than after. Cracking patterns were observedfroma chosen soil sample during dessication and the corresponding relationship between fd and CIF compared and monitored. As the critical SMC decreased during drying (45% to 27%), the CIF soil increased (0.023% -5.75%), so did the fd (1.233 to 1.7193). The fd showed a positive linear correlation with CIF at r 2 = 0.247 (P < 0.05) whereas the correlation of fd with SMC was best described using a polynomial function at r 2 = 0.969 (P < 0.05). The fd was sensitive to dessication cracking and therefore on SMC changes. Visual observation of dessication cracking showed that CIF increased and attained stability after day 4 while the computed and logarithmic transformed crack area attained stability between days 7 to 10 gradually decreasing to values below 2%. The estimated crack Cover or Brightness of the digitized binary images also gave better approximation of the CIF though this was slightly higher. Our results showed that dessication cracking of the Eutric Vertisol was independent of antecedent critical SMC and was time-constrained. Further soil cracking therefore stopped once maximum CIF was attained and only widening and deepening of pre-existing cracks continued.

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Automatic quantification of crack patterns by image processing

Cited by 250 publications

References 11 publications

Repeated hydrothermal quartz crystallization and cataclasis in the Bavarian Pfahl shear zone (Germany)

Repeated hydrothermal quartz crystallization and cataclasis in the Bavarian Pfahl shear zone (Germany)

Soil crack morphology analysis using image processing techniques

Characterizing Dessication Cracking of a Remolded Clay (<i>Eutric Vertisol</i>) Using the Fractal Dimension Approach

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Automatic quantification of crack patterns by image processing

Cited by 250 publications

References 11 publications

Repeated hydrothermal quartz crystallization and cataclasis in the Bavarian Pfahl shear zone (Germany)

Repeated hydrothermal quartz crystallization and cataclasis in the Bavarian Pfahl shear zone (Germany)

Soil crack morphology analysis using image processing techniques

Characterizing Dessication Cracking of a Remolded Clay (&lt;i&gt;Eutric Vertisol&lt;/i&gt;) Using the Fractal Dimension Approach

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Characterizing Dessication Cracking of a Remolded Clay (<i>Eutric Vertisol</i>) Using the Fractal Dimension Approach