基于改进的C-V模型煤岩细观裂隙图像处理及其应用

IMAGE PROCESSING AND ITS APPLICATIONS OF MESO-CRACK OF COAL BASED ON MODIFIED C-V MODEL

为了准确全面地获取煤岩细观图像裂隙信息,引进基于偏微分方程的图像处理技术,阐述无边缘活动轮廓模型(C-V模型)的原理,并针对C-V模型的不足,提出一种基于图像增强函数的改进C-V模型。采用改进的C-V模型分别对包含单一裂隙和多裂隙煤岩细观图像进行处理,获得高质量的煤岩细观裂隙二值图像,并通过量化处理,定量地得到了有效的煤岩细观结构特征参数,为后续煤岩渗流计算和损伤计算等深入研究奠定了基础。研究表明,针对对比度较低、灰度不均的煤岩细观图像,改进的C-V模型比原C-V模型取得了更好的图像分割效果和更准确的煤岩细观结构定量信息,可以应用于煤岩渗透率和损伤因子的计算。

In order to access the information of fractural images accurately and comprehensively,the image processing based on partial differential equation is introduced. After discussing the theory of active contour without edges model,a modified C-V model based on the technique of image enhancement is processed in order to overcome the drawback of the C-V model. High quality binary images as well as effective characteristic parameters of coal with meso-cracks are obtained using the modified C-V model and quantitative disposal. It?s the foundation of the continued investigation,for instance the calculation of seepage and the damage of coal. The results showed that, for low contrast ratio and inhomogeneous gray meso-cracks images, the modified conventional C-V model is better than the C-V model in obtaining the image segmentation and the quantitative information which can be used for computing the permeability and damage factor.