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Geostatistical and morphological methods applied to three‐dimensional microscopy
Author(s) -
Conan V.,
Gesbert S.,
Howard C.V.,
Jeulin D.,
Meyer F.,
Renard D.
Publication year - 1992
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.1365-2818.1992.tb01516.x
Subject(s) - voxel , computer science , confocal , grid , binary image , image processing , face (sociological concept) , binary number , artificial intelligence , microscopy , image (mathematics) , computer vision , optics , mathematics , geometry , physics , social science , arithmetic , sociology
SUMMARY Three‐dimensional (3‐D) images of osteocyte lacunae were examined on a confocal microscope. Both geostatistical and morphological processing techniques were used to improve and to analyse them. By a geostatistical approach, this study aims at improving 3‐D confocal images before any further image processing. Optimized linear filters, which take account of the second‐order statistics and the 3‐D structure of the data, allow for the removal of imperfections such as noise and/or blur due to the axial convolution, and interpolate voxels on a face‐centred cubic grid from an initial cubic grid. An application of this technique to 3‐D biological images is demonstrated. In a second step, a 3‐D binary image is digitized and cleaned with 3‐D morphological filters. The standard 3‐D measurements cannot be applied in this case, since all osteocytes cut the border of the field. For this reason a 3‐D Boolean model has been adjusted, from which it is possible to derive all useful information on the repartition and the morphology of the osteocytes.