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Saliency Detection for Seismic Applications Using Multi-dimensional Spectral Projections and Directional Comparisons

Abstract: 

In this paper, we propose a novel approach for saliency detection for seismic applications using 3D-FFT local spectra and multi-dimensional plane projections. We develop a projection scheme by dividing a 3D-FFT local spectrum of a data volume into three distinct components, each depicting changes along a different dimension of the data. The saliency detection results obtained using each projected component are then combined to yield a saliency map. To accommodate the directional nature of seismic data, in this work, we modify the center-surround model, proven to be biologically plausible for visual attention, to incorporate directional comparisons around each voxel in a 3D volume. Experimental results on real seismic dataset from the F3 block in Netherlands offshore in the North Sea prove that the proposed algorithm is effective, efficient, and scalable. Furthermore, a subjective comparison of the results shows that it outperforms the state-of-the-art methods for saliency detection.

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Paper Details

Authors:
Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi, Ghassan AlRegib
Submitted On:
13 September 2017 - 12:20am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Ghassan AlRegib
Paper Code:
ICIP1701
Document Year:
2017
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[1] Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi, Ghassan AlRegib, "Saliency Detection for Seismic Applications Using Multi-dimensional Spectral Projections and Directional Comparisons", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1959. Accessed: Nov. 23, 2017.
@article{1959-17,
url = {http://sigport.org/1959},
author = {Muhammad Amir Shafiq; Zhiling Long; Tariq Alshawi; Ghassan AlRegib },
publisher = {IEEE SigPort},
title = {Saliency Detection for Seismic Applications Using Multi-dimensional Spectral Projections and Directional Comparisons},
year = {2017} }
TY - EJOUR
T1 - Saliency Detection for Seismic Applications Using Multi-dimensional Spectral Projections and Directional Comparisons
AU - Muhammad Amir Shafiq; Zhiling Long; Tariq Alshawi; Ghassan AlRegib
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1959
ER -
Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi, Ghassan AlRegib. (2017). Saliency Detection for Seismic Applications Using Multi-dimensional Spectral Projections and Directional Comparisons. IEEE SigPort. http://sigport.org/1959
Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi, Ghassan AlRegib, 2017. Saliency Detection for Seismic Applications Using Multi-dimensional Spectral Projections and Directional Comparisons. Available at: http://sigport.org/1959.
Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi, Ghassan AlRegib. (2017). "Saliency Detection for Seismic Applications Using Multi-dimensional Spectral Projections and Directional Comparisons." Web.
1. Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi, Ghassan AlRegib. Saliency Detection for Seismic Applications Using Multi-dimensional Spectral Projections and Directional Comparisons [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1959