CAJ | 학술논문

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。
위료준학전면지획취매암세관도상렬극신식，인진기우편미분방정적도상처리기술，천술무변연활동륜곽모형(C-V모형)적원리，병침대C-V모형적불족，제출일충기우도상증강함수적개진C-V모형。채용개진적C-V모형분별대포함단일렬극화다렬극매암세관도상진행처리，획득고질량적매암세관렬극이치도상，병통과양화처리，정량지득도료유효적매암세관결구특정삼수，위후속매암삼류계산화손상계산등심입연구전정료기출。연구표명，침대대비도교저、회도불균적매암세관도상，개진적C-V모형비원C-V모형취득료경호적도상분할효과화경준학적매암세관결구정량신식，가이응용우매암삼투솔화손상인자적계산。
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.