Segmentation for rock fractures based on ARMA model
نویسنده
چکیده
Rock fracture mapping is very important in many applications related to rock mechanics. The toughest task is the extraction of the fractures from the images of the rocks. Time series model has been used in this paper for segmentation of fractures from the rock images. The model is compared with orthodox edge detection algorithms. A first order autoregressive image model has been implemented. The model has been applied for both rough as well as smooth fractures. The model was observed to perform well specifically for the rough fractures as it is sensitive to the texture of the image.
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تاریخ انتشار 2010