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Proceedings Paper

Biomedical structure recognition by successive approximations
Author(s): Giovanni Venturi; Silvana G. Dellepiane; Gianni L. Vernazza
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Paper Abstract

A knowledge-based system is presented that has been designed to overcome the difficulties generally encountered in the extraction of structures from biomedical images. Different segmentation methods are opportunistically applied and parameter values are automatically controlled through the use of models, data, and progressive results. Detected structures are assigned fuzzy membership values related to the reliability of recognition results. The application of the system to microscopic images is described. Peculiar features of the system include a high degree of tolerance to parameter variations high flexibility and a reduced processing time.

Paper Details

Date Published: 1 November 1991
PDF: 9 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50383
Show Author Affiliations
Giovanni Venturi, Univ. of Genoa (Italy)
Silvana G. Dellepiane, Univ. of Genoa (Italy)
Gianni L. Vernazza, Univ. of Genoa (Italy)

Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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