Mineral Grain Boundary Detection With Image Processing Method: From Edge Detection
نویسندگان
چکیده
The recognition of grain boundaries in deformed rocks from images of thin-sections or polished slabs is an essential step in describing and quantifying various features and analysis, which is usually achieved by image processing procedures. Recently, researchers from geoscience and computer science focused on this issue and many methods have been proposed. We begin with an application of mineral grain boundary detection of thin section in geoscience: strain analysis[1]. Strain analysis plays an important role in the study of structural geology, especially when investigating the tectonic history of a region(see [2] and [3]). The following scheme illustratesmain steps of strain analysis. The critical step in the above scheme
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