Line and edge detection and enhancement
Abstract
Embodiments of the present disclosure include one or more of a method, computing device, computer-readable medium, and system for statistical line and edge detection and/or enhancement. An example embodiment of the present disclosure may include a method that includes identifying a plurality of data values related to a first object defined by a first plurality of points within the volume, wherein the first object intersects a second object defined by a second plurality of points within the volume; calculating a statistical significance statistic related to the second object; interpolating a P-value related to the statistical significance statistic; and determining a significant P-value taken over the second object, wherein the significant P-value comprises a minimum P-value that provides a maximum negative log(P(statistical significance statistic)).
Claims
exact text as granted — not AI-modified1 . A method for processing seismic data, comprising:
identifying a plurality of data values related to a first object defined by a first plurality of points within the volume, wherein the first object intersects a second object defined by a second plurality of points within the volume; calculating a statistical significance statistic related to the second object; interpolating a P-value related to the statistical significance statistic; and determining a significant P-value taken over the second object, wherein the significant P-value comprises a minimum P-value that provides a maximum negative log(P(statistical significance statistic)).
2 . The method of claim 1 , further comprising using the significant P-value to identify an edge represented by the seismic data.
3 . The method of claim 1 , wherein the seismic data comprises a first set of seismic data, and further comprising using the significant P-value to determine a weight for mixing a first volume represented by the seismic data with a second volume represented by a second set of seismic data.
4 . The method of claim 1 , wherein the statistical significance statistic is determined using at least one of a parametric test and a non-parametric test.
5 . The method of claim 1 , wherein the statistical significance statistic is determined using at least one of a Wilcoxon-Mann-Whitney rank sum test, a t-test, a U-test and a Sign test.
6 . The method of claim 1 , wherein the statistical significance statistic comprises a z-statistic.
7 . The method of claim 1 , wherein the maximum negative log(P(statistical significance statistic)) is calculated based on a lookup table and linear interpolation.
8 . One or more computer-readable media for processing seismic data, the computer-readable media comprising computer-executable instructions to instruct a computing device to perform a process, the process comprising:
identifying a plurality of data values related to a first object defined by a first plurality of points within the volume, wherein the first object intersects a second object defined by a second plurality of points within the volume; calculating a statistical significance statistic related to the second object; interpolating a P-value related to the statistical significance statistic; and determining a significant P-value taken over the second object, wherein the significant P-value comprises a minimum P-value that provides a maximum negative log(P(statistical significance statistic)).
9 . The computer-readable media of claim 8 , wherein the process further comprises using the significant P-value to identify an edge represented by the seismic data.
10 . The computer-readable media of claim 8 , wherein the seismic data comprises a first set of seismic data, and further comprising using the significant P-value to determine a weight for mixing a first volume represented by the seismic data with a second volume represented by a second set of seismic data.
11 . The computer-readable media of claim 8 , wherein the statistical significance statistic is determined using at least one of a parametric test and a non-parametric test.
12 . The computer-readable media of claim 8 , wherein the statistical significance statistic is determined using at least one of a Wilcoxon-Mann-Whitney rank sum test, a t-test, a U-test and a Sign test.
13 . The computer-readable media of claim 8 , wherein the statistical significance statistic comprises a z-statistic.
14 . The computer-readable media of claim 8 , wherein the maximum negative log(P(statistical significance statistic)) is calculated based on a lookup table and linear interpolation.
15 . A system for processing seismic data, comprising:
a processor; a memory; a storage medium; a plurality of computer-executable instructions residing in the storage medium to instruct the processor to perform a process, the process comprising: identifying a plurality of data values related to a first object defined by a first plurality of points within the volume, wherein the first object intersects a second object defined by a second plurality of points within the volume; calculating a statistical significance statistic related to the second object; interpolating a P-value related to the statistical significance statistic; and determining a significant P-value taken over the second object, wherein the significant P-value comprises a minimum P-value that provides a maximum negative log(P(statistical significance statistic)).
16 . The computer-readable media of claim 15 , wherein the process further comprises using the significant P-value to identify an edge represented by the seismic data.
17 . The computer-readable media of claim 15 , wherein the seismic data comprises a first set of seismic data, and further comprising using the significant P-value to determine a weight for mixing a first volume represented by the seismic data with a second volume represented by a second set of seismic data.
18 . The computer-readable media of claim 15 , wherein the statistical significance statistic is determined using at least one of a parametric test and a non-parametric test.
19 . The computer-readable media of claim 15 , wherein the statistical significance statistic comprises a z-statistic.
20 . The computer-readable media of claim 15 , wherein the maximum negative log(P(statistical significance statistic)) is calculated based on a lookup table and linear interpolation.Join the waitlist — get patent alerts
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