Three-Dimensional Reconstruction Of Calbon Black Chains Using An Automated Stereographic Technique

P. J. Hood; D. G. Howitt

doi:10.1117/12.976215

10 December 1986 Three-Dimensional Reconstruction Of Calbon Black Chains Using An Automated Stereographic Technique

P. J. Hood, D. G. Howitt

Proceedings Volume 0697, Applications of Digital Image Processing IX; (1986) https://doi.org/10.1117/12.976215
Event: 30th Annual Technical Symposium, 1986, San Diego, United States

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.

Citation Download Citation

P. J. Hood and D. G. Howitt "Three-Dimensional Reconstruction Of Calbon Black Chains Using An Automated Stereographic Technique", Proc. SPIE 0697, Applications of Digital Image Processing IX, (10 December 1986); https://doi.org/10.1117/12.976215

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