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Proceedings Paper

Three-Dimensional Reconstruction Of Calbon Black Chains Using An Automated Stereographic Technique
Author(s): P. J. Hood; D. G. Howitt
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Paper Abstract

A method for calculating the three-dimensional structure of suspended chains of carbon black revealed by transmission electron microscopy is presented. The method is a general one involving the interpretation of inclined projections of thin transparent objects to determine the spatial characteristics of microscopic features. The reconstruction technique consists of five sections: preprocessing, segmentation, classification, correlation and spatial reconstruction. Preprocessing consists of sharpening the features in the electron micrographs which are inherently too diffuse for the application of standard image analysis techniques. Image segmentation involves dividing of the image into its basic components (feature records) which are later combined to reconstruct the object in three-dimensions. The feature records are classified using a clustering k-mean algorithm and the correlation between the images is accomplished using an algorithm which learns class correlation based on the known axis of rotation and the uniqueness of the correlation. Once the features have been correlated it is possible to locate the three-dimensional features in space based upon their relative disparity. The spatial information can also be used to identify the features which may not otherwise be a unique solution and the artificial intelligence methods used for this aspect of the solution will also be discussed.

Paper Details

Date Published: 10 December 1986
PDF: 9 pages
Proc. SPIE 0697, Applications of Digital Image Processing IX, (10 December 1986); doi: 10.1117/12.976215
Show Author Affiliations
P. J. Hood, University of California (United States)
D. G. Howitt, University of California (United States)

Published in SPIE Proceedings Vol. 0697:
Applications of Digital Image Processing IX
Andrew G. Tescher, Editor(s)

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