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- Wonho Oh, W. Brent Lindquist
- IEEE Trans. Pattern Anal. Mach. Intell.
- 1999

| We consider the problem of segmenting a digitized image consisting of two univariate populations. Assume a-priori knowledge allows incomplete assignment of voxels in the image, in the sense that a fraction of the vox-els can be identiied as belonging to population 0 , a second fraction to 1 , and the remaining fraction have no a-priori identiication.… (More)

- W. Brent Lindquist, Wonho Oh, Arun Venkatarangan, W. B. LINDQUISTy
- 1994

We have developed a numerical algorithm to generate realizations of a stochastic, isotropic, scalar eld covering a rectangular domain in two and three spatial dimensions. The eld is characterized by heterogeneity variation over all numerical length scales contained within the domain. The variation is described by a two point covariance function of the form… (More)

- Roman Samulyak, James Glimm, Wonho Oh, Harold Kirk, Kirk McDonald
- ICCSA
- 2003

Numerical methods for free surface MHD flows have been developed and numerical simulations of the Richtmyer Meshkov type instability in liquid jets in strong magnetic fields caused by an external energy deposition have been performed. Numerical results shed light on the evolution of the proposed Muon Collider target which will be designed as a pulsed jet of… (More)

- Wei Cai, Wonho Oh, You-lan Zhu
- SIAM J. Scientific Computing
- 1996

| We consider the problem of segmenting a digitized 2D or 3D image consisting of two univariate populations. Assume a-priori knowledge allows incomplete assignment of voxels in the image, in the sense that a fraction of the voxels can be identiied as belonging to population 0 , a second fraction to 1 , and the remaining fraction have no a-priori… (More)

- Wonho Oh
- 1998

PEST is a numerical algorithm developed for the simulation in a rectangular R 2 or R 3 domain of a stochastic, isotropic, scalar eld which is conditioned pointwise to a set of measurements. The eld is characterized by heterogeneity variation described either by a two point covariance function C(r) or semivariogram (r) for pairs of points separated by… (More)

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