IMAGE PROCESSING AND ITS APPLICATIONS OF MESO-CRACK OF COAL BASED ON MODIFIED C-V MODEL
CAO Shugang1,2,SUN Chuanmeng1,GUO Ping3,LUO Feng1,LIU Yanbao3
(1. College of Resources and Environmental Science,Chongqing University,Chongqing 400044,China;
2. State Key Laboratory of Coal Mine Disaster Dynamics and Control,Chongqing University,Chongqing 400044,China;
3. China Coal Technology Engineering Group Chongqing Research Institute,Chongqing 400037,China)
Abstract: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.
曹树刚1,2,孙传猛1,郭 平3,洛 锋1,刘延保3. 基于改进的C-V模型煤岩细观裂隙图像处理及其应用[J]. 岩石力学与工程学报, 2015, 34(s1): 3074-3081.
CAO Shugang1,2,SUN Chuanmeng1,GUO Ping3,LUO Feng1,LIU Yanbao3. IMAGE PROCESSING AND ITS APPLICATIONS OF MESO-CRACK OF COAL BASED ON MODIFIED C-V MODEL. , 2015, 34(s1): 3074-3081.
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