李小二, 王鹏, 靳翔飞, 陈新明, 张将令. 基于CT扫描的煤样图像处理及裂隙形态表征[J]. 煤矿安全, 2022, 53(2): 125-129.
    引用本文: 李小二, 王鹏, 靳翔飞, 陈新明, 张将令. 基于CT扫描的煤样图像处理及裂隙形态表征[J]. 煤矿安全, 2022, 53(2): 125-129.
    Coal sample image processing and fracture morphological representation based on CT scanning[J]. Safety in Coal Mines, 2022, 53(2): 125-129.
    Citation: Coal sample image processing and fracture morphological representation based on CT scanning[J]. Safety in Coal Mines, 2022, 53(2): 125-129.

    基于CT扫描的煤样图像处理及裂隙形态表征

    Coal sample image processing and fracture morphological representation based on CT scanning

    • 摘要: 利用工业CT扫描设备对赵固一矿优质无烟煤进行样品取心和微观扫描分析;运用图像处理技术对原始图像进行降噪、增强对比度和二值化处理,借助阈值调节使图像信息得到准确表达;通过Avizo软件对CT图像进行重建,得到三维的裂隙结构模型。结果表明:基于工业显微CT扫描重建的三维数字煤心,能准确地反映真实煤心的内部裂隙结构;图像精细处理能够对煤样中错综复杂的裂隙网络进行精确表征,达到定量描述的要求。

       

      Abstract: Using industrial CT scanning equipment, sample coring and microscopic scanning analysis of high quality anthracite in Zhaogu No.1 Mine were carried out. The original image is denoised, enhanced, and binarized by image processing technology. The image information is accurately expressed by threshold adjustment. Finally, the CT image was reconstructed by Avizo software to obtain a three-dimensional fracture structure model. The results show that the three-dimensional digital coal core reconstructed by industrial microscopic CT scanning can accurately reflect the internal fracture structure of the real coal core. Image fine processing can accurately characterize the complex fracture network in coal samples and meet the requirements of quantitative description.

       

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