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Proceedings Paper

Computational analysis of biological phenomena
Author(s): Robert R. Goldberg; Michael R. Goldberg
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Paper Abstract

A knowledge based system is proposed that will automate the segmentation process for embryonic organogenesis image data. Different methodologies will be incorporated that enable the accurate segmentation of image data based on the 'fingerprint' pattern of a particular cell staining. A novel technique integrates perceptual organization concepts to solve the shortcomings of the medial axis transform at the growing tips of branch structures. The system will then recover the underlying 3D object space axes of growth for two and 3D measurements. Also, perceptual organization groupings are formed by coalescing multiple lines in an image into one structure. These groupings can be described by junction analysis nomenclature and appear in different formations in different organs and at specific times in the development yielding significant biological meaning.

Paper Details

Date Published: 27 August 1999
PDF: 11 pages
Proc. SPIE 3836, Machine Vision Systems for Inspection and Metrology VIII, (27 August 1999); doi: 10.1117/12.360277
Show Author Affiliations
Robert R. Goldberg, CUNY/Queens College (United States)
Michael R. Goldberg, Columbia Univ. (United States)


Published in SPIE Proceedings Vol. 3836:
Machine Vision Systems for Inspection and Metrology VIII
John W. V. Miller; Susan Snell Solomon; Bruce G. Batchelor, Editor(s)

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