Mask Synthesis for Aerial Image Fidelity in Optical Lithography Using a Coarse-Grid-Approximation Level-Set Approach

2019 ◽  
Vol 34 (1) ◽  
pp. 209-214 ◽  
Author(s):  
Yao Peng ◽  
Jinyu Zhang ◽  
Yan Wang ◽  
Zhiping Yu
Keyword(s):  
Level Set ◽  
Optical Lithography ◽  
Coarse Grid ◽  
Aerial Image ◽  
Grid Approximation ◽  
Image Fidelity ◽  
Level Set Approach

Two-phase flow stability analysis using a level set approach

2017 ◽  
Author(s):  
Mamta Raju Jotkar ◽  
Daniel Rodriguez ◽  
Bruno Marins Soares
Keyword(s):  
Stability Analysis ◽  
Level Set ◽  
Two Phase Flow ◽  
Flow Stability ◽  
Phase Flow ◽  
Two Phase ◽  
Level Set Approach

scholarly journals A stabilized finite element method using a discontinuous level set approach for the computation of bubble dynamics

2007 ◽  
Vol 225 (1) ◽  
pp. 949-974 ◽  
Author(s):  
Emilie Marchandise ◽  
Philippe Geuzaine ◽  
Nicolas Chevaugeon ◽  
Jean-François Remacle
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Level Set ◽  
Bubble Dynamics ◽  
Stabilized Finite Element ◽  
Stabilized Finite Element Method ◽  
Level Set Approach ◽  
Element Method

Hydrodynamic simulation of air bubble implosion using a level set approach

2006 ◽  
Vol 215 (1) ◽  
pp. 98-132 ◽  
Author(s):  
Sunitha Nagrath ◽  
Kenneth Jansen ◽  
Richard T. Lahey ◽  
Iskander Akhatov
Keyword(s):  
Level Set ◽  
Hydrodynamic Simulation ◽  
Air Bubble ◽  
Level Set Approach

A Mumford–Shah level-set approach for the inversion and segmentation of X-ray tomography data

2007 ◽  
Vol 221 (2) ◽  
pp. 539-557 ◽  
Author(s):  
Ronny Ramlau ◽  
Wolfgang Ring
Keyword(s):  
Level Set ◽  
X Ray ◽  
Level Set Approach ◽  
Tomography Data

Modeling and Prediction of Hydrogen-Assisted Morphological Evolution in Silicon Utilizing a Level-Set Approach

2021 ◽  
pp. 1-8
Author(s):  
Bin Sun ◽  
Stefan C. Scholz ◽  
Alexander Kemper ◽  
Thomas Grap ◽  
Joachim Knoch
Keyword(s):  
Level Set ◽  
Morphological Evolution ◽  
Modeling And Prediction ◽  
Level Set Approach

A MODIFIED MULTIPHASE LEVEL SET EVOLUTION SCHEME FOR AERIAL IMAGE SEGMENTATION

2007 ◽  
Vol 21 (07) ◽  
pp. 1195-1212 ◽  
Author(s):  
WANG WEI ◽  
YANG XIN
Keyword(s):  
Level Set ◽  
Geometric Analysis ◽  
Aerial Images ◽  
Contourlet Transform ◽  
Aerial Image ◽  
Global Features ◽  
Precise Shape ◽  
Level Set Evolution ◽  
Weighting Coefficients ◽  
Evolution Scheme

This paper describes an innovative aerial images segmentation algorithm. The algorithm is based upon the knowledge of image multiscale geometric analysis using contourlet transform, which can extract the image's intrinsic geometrical structure efficiently. The contourlet transform is introduced to represent the most distinguished and the rotation invariant features of the image. A modified Mumford–Shah model is applied to segment the aerial image by a multifeature level set evolution. To avoid possible local minima in the level set evolution, we adjust the weighting coefficients of the multiscale features in different evolution periods, i.e. the global features have bigger weighting coefficients at the beginning stages which roughly define the shape of the contour, then bigger weighting coefficients are assigned to the detailed features for segmenting the precise shape. When the algorithm is applied to segment the aerial images with several classes, satisfied experimental results are achieved by the proposed method.

scholarly journals Real-Time Runway Detection for Infrared Aerial Image Using Synthetic Vision and an ROI Based Level Set Method

2018 ◽  
Vol 10 (10) ◽  
pp. 1544 ◽  
Author(s):  
Changjiang Liu ◽  
Irene Cheng ◽  
Anup Basu
Keyword(s):  
Real Time ◽  
Level Set Method ◽  
Level Set ◽  
Infrared Image ◽  
Region Of Interest ◽  
Aerial Image ◽  
Real Time Processing ◽  
Synthetic Vision ◽  
Level Set Function ◽  
Rough Region

We present a new method for real-time runway detection embedded in synthetic vision and an ROI (Region of Interest) based level set method. A virtual runway from synthetic vision provides a rough region of an infrared runway. A three-thresholding segmentation is proposed following Otsu’s binarization method to extract a runway subset from this region, which is used to construct an initial level set function. The virtual runway also gives a reference area of the actual runway in an infrared image, which helps us design a stopping criterion for the level set method. In order to meet the needs of real-time processing, the ROI based level set evolution framework is implemented in this paper. Experimental results show that the proposed algorithm is efficient and accurate.

Modeling of discrete intersecting discontinuities in rock mass using XFEM/level set approach

2016 ◽  
pp. 239-246
Author(s):  
Kamal Das ◽  
Sandeep Sandha ◽  
Eduardo Rodrigues ◽  
U Mello ◽  
Ignacio Carol ◽  
...  
Keyword(s):  
Rock Mass ◽  
Level Set ◽  
Level Set Approach

Numerical Modelling of Plastic Deformation and Subsequent Recrystallization in Polycrystalline Materials, Based on a Digital Material Framework

2007 ◽  
Vol 558-559 ◽  
pp. 1133-1138 ◽  
Author(s):  
Roland E. Logé ◽  
M. Bernacki ◽  
H. Resk ◽  
H. Digonnet ◽  
T. Coupez
Keyword(s):  
Level Set ◽  
Large Strain ◽  
Voronoi Tessellation ◽  
Constitutive Law ◽  
Polycrystalline Materials ◽  
Large Strains ◽  
Element Mesh ◽  
Digital Material ◽  
Digital Sample ◽  
Level Set Approach

The development of a digital material framework is presented, allowing to build virtual microstructures in agreement with experimental data. The construction of the virtual material consists in building a multi-level Voronoï tessellation. A polycrystalline microstructure made of grains and sub-grains can be obtained in a random or deterministic way. A corresponding finite element mesh can be generated automatically in 3D, and used for the simulation of mechanical testing under large strain. In the examples shown in this work, the initial mesh was non uniform and anisotropic, taking into account the presence of interfaces between grains and sub-grains. Automatic remeshing was performed due to the large strains, and maintained the non uniform and anisotropic character of the mesh. A level set approach was used to follow the grain boundaries during the deformation. The grain constitutive law was either a viscoplastic power law, or a crystallographic formulation based on crystal plasticity. Stored energies and precise grain boundary network geometries were obtained directly from the deformed digital sample. This information was used for subsequent modelling of grain growth with the level set approach, on the same mesh.

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