考虑射束硬化的煤岩CT数据阈值分割方法及应用

Threshold segmentation method of CT scanning data of coal and rock samples considering beam hardening effect and its application

  • 摘要: 射束硬化是工业CT应用中的常见现象,射束硬化会导致同一密度组分呈现不同的灰度值,严重影响对各组分的分割及后期重构。为对射束硬化效应影响下的煤岩试样CT扫描数据精确划分,研究了射束硬化影响下的煤岩试样灰度值的分布规律,发现灰度束上灰度值的变化能够真实反映组分密度变化,并从理论上推导证明了这一结论,据此提出了灰度束阈值分割方法。灰度束阈值分割方法是将CT重建后的三维灰度数据体离散为一维的灰度束,根据目标组分种类的数量选择合适的全阈分割方法进行分割,并对其进行多值化,将多值化后的一维数据体重新集合为三维数据,三维数据中不同值代表不同组分,从而将各组分区分。采用灰度束阈值分割方法对6种射束影响下的煤岩组合体扫描数据进行了阈值分割并重构,证明了本方法的有效性。研究结果能够对非均质煤岩及其他材料CT扫描数据精确划分提供参考。

     

    Abstract: Beam hardening is a common phenomenon in the application of industrial computerized tomography (ICT). It can cause different grayscale values in components with the same density, which affects the threshold segmentation and later reconstruction of components seriously. Herein, study was conducted on the distribution law of grayscale values under the effect of beam hardening, so as to segment the CT scanning data of coal and rock samples under the beam hardening effect accurately. Through the study, it is found that the change in grayscale value on the grayscale beam could truly reflect the change in component density, which is proved by theoretical derivation. Based on this, the threshold segmentation method was proposed for the grayscale beam. Specifically, the threshold segmentation method of grayscale beam is to discrete the three-dimensional grayscale data volumes through CT reconstruction as one-dimensional grayscale beams at first, then segment and multivalue them with the appropriate full-threshold segmentation method according to the number of target component types, and finally gather the multivalued one-dimensional data volume for three-dimensional data. Thereby, the components can be distinguished through the different values in the three-dimensional data that represent different components. Herein, the threshold segmentation method of grayscale beam was used to segment and reconstruct the scanning data of coal-rock combination under the effect of 6 beams, with the validity of this method verified. The research results could provide a reference for the accurate segmentation of CT scanning data of non-homogeneous coal, rock and other materials.

     

/

返回文章
返回