Improved mesoscale segmentation of concrete from 3D X-ray images using contrast enhancers (original) (raw)
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Image analysis of backscattered electron (bse) images has often been used to determine the fraction of the phases in cement paste, such as porosity and anhydrous cement content. However, application of this technique to concrete requires separation of aggregate particles from the paste matrix in the bse image. Binary segmentation of phases is usually based on their grey levels in the image, but the grey levels of aggregate frequently overlap those of the other phases present. In this paper, an algorithm is presented for separating out aggregate particles in the concrete image by a combination of grey-level thresholding, filtering and binary operations. The results demonstrate that the method is able to deal with segmentation of different types of aggregate. D
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International Journal of Pavement Engineering, 2011
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Cement and Concrete Research, 2006
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The generation processes of microscopic images in as Backscattered Scanning Electrons (BSE) are produced by complex interaction between incident electrons beam within the specimen. Different authors have correlated the energy of impact released with the mean atomic number (Z) of the phase to study, and deducing that the nature of the scattering events induced by the electron beam is strongly controlled by the Z value of them. If we compared the amount of electron backscattering with respect to response of the beam energies and so deduced a mathematical functions, for each specimen studied, and respectively by to digital images processing (based on the linear transformation of levels grey range in those energies) allows to sharpen in the discrimination and quantification of some phases in cements that, due to overlap processes, until now, could not be isolated. By means theses theoretical studios it is possible, for example, to identify interstitial cations that impinge on Z factor o...
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/on-application-of-image-processing-study-of-digital-image-processing-techniques-for-concrete-mixture-images-and-its-composition https://www.ijert.org/research/on-application-of-image-processing-study-of-digital-image-processing-techniques-for-concrete-mixture-images-and-its-composition-IJERTV3IS031085.pdf The concrete mixture is combination of various Cement, Air-voids and Aggregates. To analyze the compositions of the concrete mixture, the X-ray CT images are used. Digital image processing algorithm is applied to analyze the obtained image. Using this Digital image processing algorithm the obtained image is processed and filtered. The resultant image is compared with the X-ray CT image and the measured and predicted mixture proportions are compared to analyze the absolute errors. The threshold range T1 and T2 were found for aggregates, cement materials and air-voids. On comparing the obtained range with the predicted measurement, it is found that the Digital Image processing algorithm results better accuracy. This leads to conclude that Threshold algorithm provide significant improvement over the manual and subjective techniques used for the analysis.
2D image analysis method for evaluating coarse aggregate characteristic and distribution in concrete
Construction and Building Materials, 2016
h i g h l i g h t s Two-dimensional image analysis method for particle status analysis is developed. Coarse aggregate characteristic and distribution in concrete are analyzed. Information of 2D image analysis and 3D experiment results has good consistency. Image analysis can help to improve concrete quality and optimize mix proportion. Disturbance should be avoid to guarantee coarse aggregate distributing homogeneity.