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Directional Grey Level Co-occurrence Matrix-based Attributes for Fracture DetectionNormal access

Authors: C. Eichkitz, J. Amtmann and M.G. Schreilechner
Event name: 77th EAGE Conference and Exhibition 2015
Session: Interpretation Theory - New Developments I
Publication date: 01 June 2015
DOI: 10.3997/2214-4609.201412610
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 3.66Mb )
Price: € 20

Summary:
The grey level co-occurrence matrix (GLCM) is a measure of the texture of an image. It describes how often different combinations of pixel brightness values occur in an image. Based on this, several textural attributes can be calculated. These directional attributes can be used to determine isotropic and anisotropic areas. In anisotropic areas the information of directional GLCM-based attributes can be used for the estimation of fracture intensity, as well as for the determination of strike and dip of fractures.


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