{"title":"Study on the meso-structure image of shale based on the digital image processing technique","authors":"C. Yuchao, Liu Hui","doi":"10.1109/IASP.2009.5054656","DOIUrl":null,"url":null,"abstract":"The digital image processing techniques, including gray level transformation, image sharpening, image segmentation and edge detection, is applied to the study on the meso-structure image of shale. The results show that the digital image processing technique can extract useful information from the CT images and construct a model of meso-structure of shale. The model shows the spatial distribution of the different media in the rock. The process of the damage propagation can be seen IN the meso-structure image clearly. Meanwhile, a process, including geometrical vectorization, scaling transformation, and the realization of the FEM software interface, is provided to establish a finite element grid model. The proposed approach can be a research foundation for the further study on the physical and mechanical properties of rock.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Image Analysis and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASP.2009.5054656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The digital image processing techniques, including gray level transformation, image sharpening, image segmentation and edge detection, is applied to the study on the meso-structure image of shale. The results show that the digital image processing technique can extract useful information from the CT images and construct a model of meso-structure of shale. The model shows the spatial distribution of the different media in the rock. The process of the damage propagation can be seen IN the meso-structure image clearly. Meanwhile, a process, including geometrical vectorization, scaling transformation, and the realization of the FEM software interface, is provided to establish a finite element grid model. The proposed approach can be a research foundation for the further study on the physical and mechanical properties of rock.