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A clinker phase recognition method in cement-based material CT images based on Sobel edge detection

A cement-based material and edge detection technology, applied in the field of image processing, can solve the problems that are difficult to effectively achieve the level of microstructure recognition and reconstruction, and achieve the effect of easy computer programming and calculation

Inactive Publication Date: 2019-01-22
TSINGHUA UNIV
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Problems solved by technology

At present, there is no standard processing method for CT images of cement-based materials. Different image processing methods have more or less defects in the clinker phase recognition effect and processing efficiency, and it is difficult to effectively achieve microstructure recognition and reconstruction. s level

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  • A clinker phase recognition method in cement-based material CT images based on Sobel edge detection
  • A clinker phase recognition method in cement-based material CT images based on Sobel edge detection

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Embodiment Construction

[0016] The implementation of the present invention will be described in detail below in conjunction with the drawings and examples.

[0017] Such as figure 1 with figure 2 As shown, a clinker phase recognition method in CT images of cement-based materials based on Sobel edge detection, the complete process includes image filtering, gradient calculation, threshold setting, image binarization and clinker phase recognition. The main scheme is to calculate the gray gradient of the clinker phase and other phases in the cement-based material, set the threshold, and use the difference in the gray gradient to identify the phase.

[0018] Specifically, image filtering is performed using a curvature algorithm. The CT image is a grayscale image, which mainly filters out the background noise in the image. The filtered image uses Sobel operator for edge detection.

[0019] The detection process needs to calculate the gray gradient, including two parts, the horizontal gradient and the ...

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Abstract

The invention relates to a clinker phase recognition method in cement-based material CT images based on Sobel edge detection, which is used for recognition and processing of cement-based material CT images. The method comprises the following steps of: cutting a CT image of a cement-based material and selecting a representative region; for the region to be identified, using the Sobel operator to calculate the gradient in the horizontal and vertical directions, and calculating the global gradient. According to the image condition, the threshold value is selected and binarized to obtain the clinker phase in the CT image of cement-based material. The invention is simple in operation, low in calculation consumption, and can achieve good CT image recognition effect, and has strong practical value.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a clinker phase recognition method in CT images of cement-based materials based on Sobel edge detection. Background technique [0002] CT scanning technology is a technology that uses X-rays to perform tomographic scanning on objects. It can non-destructively detect the phase composition, pore structure and crack distribution inside the sample, thereby generating a complete three-dimensional model of the sample. This feature of CT technology has made it widely used in the study of material microstructure, and its application in cement-based materials has also begun to attract attention. [0003] The microstructure of cement-based materials is complex, including clinker phases, hydration product phases, and pores. The distribution and morphology of clinker phases are closely related to the hydration reaction of cement-based materials, and hydration reactions are the key t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/20G06T7/00G06T7/13G06T7/136G06T7/90
CPCG06T5/20G06T7/0002G06T7/13G06T7/136G06T7/90G06T2207/10081G06T5/70
Inventor 魏亚吴泽弘梁思明
Owner TSINGHUA UNIV
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