Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2005-06-27
2008-09-30
Ahmed, Samir A. (Department: 2624)
Image analysis
Pattern recognition
Feature extraction
C382S133000, C382S204000, C382S224000, C382S285000
Reexamination Certificate
active
07430322
ABSTRACT:
The size distributions corresponding to the three-dimensional (3D) shapes of particles are estimated from a 3D-to-2D projection matrix and a two-dimensional (2D) image of the particles that is obtained using TEM. Two different methods to generate a 3D-to-2D projection matrix are described. The first method determines the matrix coefficients assuming equal probability for all high-symmetry projections. The second method employs a large set of 3D-to-2D projection matrices with randomly generated coefficients satisfying the high-symmetry projection constraint. The second method is a general method to determine 3D-to-2D projection matrices based on the assumption that certain high-symmetry projections are present for the system under investigation.
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Cai Juan
Kilic Cetin
Larsson Mats I.
Zimbouski Ariana
Ahmed Samir A.
Nanostellar, Inc.
Newman Michael A
Patterson & Sheridan L.L.P.
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