Computes fault likelihoods, strikes, and dips, by scanning over fault orientations. Fault likelihoods are in the range [0,1], where 0 and 1 denote low

Computes fault skins from images of fault likelihoods, strikes and dips. A fault skin is a linked list of fault cells. Each fault cell is an oriented

Uses image samples alongside fault skins to estimate fault dip-slips. <p> Before estimating slips, the seismic images should be smoothed along reflect

Coordinates, Jacobians, and transforms.

A Euclidean closest-point and distance transform. <p> Based on the distance transform developed by Felzenszwalb, P.F. and D.P. Huttenlocher, 2004, Dis

A conical fault in a 3D image.

Generates fake seismic data with faults and horizons. <em> Jacobians of functions used in folding and faulting have been implemented but not tested. T

A fault cell is an oriented point located on a fault. Fault cells can be linked to form fault skins, which may be used to analyze faults. <p> Fault ce

Fault cells in a 3D sampling grid. Each grid sample indexed by (i1,i2,i3) contains either one fault cell or null. The grid facilitates searches for ce

Methods for fault geometry in seismic image coordinates. <p> Vectors u, v, and w denote fault dip, strike, and normal vectors, respectively. These vec

A linked list of fault cells that may be used to analyze faults. @author Dave Hale, Colorado School of Mines @version 2014.07.05

A sum of 2D Gaussians. Each Gaussian is centered at (c1,c2), with radius sg, and a height of hg.

A linear 1D coordinate mapping f(x) = a0+a1 x.

A linear 2D coordinate mapping f(x) = a0+a1 x1+a2 x2. In this mapping, f, x, a0, a1, and a2 are vectors, each with two components.

A linear fault in a 2D image.

A planar fault in a 3D image.

Sinusoidal folding in a 2D image.

Vertical shear of a 2D image.

Vertical shear of a 3D image.