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Directional analysis of digitized three‐dimensional images by configuration counts
Author(s) -
GUTKOWSKI P.,
JENSEN E. B. V.,
KIDERLEN M.
Publication year - 2004
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/j.0022-2720.2004.01405.x
Subject(s) - voxel , digitization , artificial intelligence , image (mathematics) , computer science , feature (linguistics) , planar , set (abstract data type) , computer vision , pattern recognition (psychology) , binary number , binary image , image processing , mathematics , computer graphics (images) , philosophy , linguistics , arithmetic , programming language
Summary A method for estimating the orientated rose of normal directions of a three‐dimensional (3D) set Z from a digitization of Z , i.e. a voxel image, is presented. It is based on counts of informative configurations in n × n × n voxel cubes. An algorithm for finding all informative configurations is proposed and an estimation procedure is described in detail for the case n = 2. The presented method is a 3D version of a method of estimating the orientated rose of binary planar images using n × n configurations. A new feature is the design‐based approach, being more appropriate for biomedical image analysis than the formerly applied model‐based approach.