Automatic seismic image segmentation by introducing a novel strategy in histogram of oriented gradients

2022 ◽  
Vol 209 ◽  
pp. 109971
Author(s):  
Esmail Hosseini-Fard ◽  
Amin Roshandel-Kahoo ◽  
Mehrdad Soleimani-Monfared ◽  
Keyvan Khayer ◽  
Ali Reza Ahmadi-Fard
2001 ◽  
Vol 50 (4) ◽  
pp. 1014-1018 ◽  
Author(s):  
L. Valet ◽  
G. Mauris ◽  
P. Bolon ◽  
N. Keskes

2014 ◽  
Vol 2 (2) ◽  
pp. T79-T88 ◽  
Author(s):  
Adam D. Halpert ◽  
Robert G. Clapp ◽  
Biondo Biondi

Although it is a crucial component of seismic velocity model building, salt delineation is often a major bottleneck in the interpretation workflow. Automatic methods like image segmentation can help to alleviate this bottleneck, but issues with accuracy and efficiency can hinder their effectiveness. However, a new graph-based segmentation algorithm can, after modifications to account for the unique nature of seismic data, quickly and accurately delineate salt bodies on 3D seismic images. In areas where salt boundaries are poorly imaged, limited manual interpretations can be used to guide the automatic segmentation, allowing for interpreter insight to be combined with modern computational capabilities. A successful 3D field data example demonstrates that this method could become an important tool for interactive interpretation tasks.


2010 ◽  
Author(s):  
Adam D. Halpert ◽  
Robert G. Clapp ◽  
Biondo Biondi

2009 ◽  
Author(s):  
Adam D. Halpert ◽  
Robert G. Clapp ◽  
Biondo Biondi

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