油岩心 CT 图像三维裂缝分割研究。
Research on 3D crack segmentation of CT images of oil rock core.
机构信息
Key Laboratory of Optoelectronic Technology and System of the Education Ministry, Chongqing University, Chongqing, China.
Engineering Research Center of Industrial Computed Tomography Nondestructive Testing of the Education Ministry, Chongqing University, Chongqing, China.
出版信息
PLoS One. 2021 Oct 14;16(10):e0258463. doi: 10.1371/journal.pone.0258463. eCollection 2021.
In this paper, we propose a framework for CT image segmentation of oil rock core. According to the characteristics of CT image of oil rock core, the existing level set segmentation algorithm is improved. Firstly, an algorithm of Chan-Vese (C-V) model is carried out to segment rock core from image background. Secondly the gray level of image background region is replaced by the average gray level of rock core, so that image background does not affect the binary segmentation. Next, median filtering processing is carried out. Finally, an algorithm of local binary fitting (LBF) model is executed to obtain the crack region. The proposed algorithm has been applied to oil rock core CT images with promising results.
本文提出了一种针对油岩心 CT 图像分割的框架。根据油岩心 CT 图像的特点，对现有的水平集分割算法进行了改进。首先，进行 Chan-Vese（C-V）模型算法，将岩心从图像背景中分割出来。其次，用岩心的平均灰度值替换图像背景区域的灰度值，使图像背景不影响二值分割。接下来，进行中值滤波处理。最后，执行局部二值拟合（LBF）模型算法，得到裂缝区域。所提出的算法已应用于油岩心 CT 图像，取得了良好的效果。
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