Biomedical structure recognition by successive approximations

Giovanni Venturi; Silvana G. Dellepiane; Gianni L. Vernazza

doi:10.1117/12.50383

1 November 1991 Biomedical structure recognition by successive approximations

Giovanni Venturi, Silvana G. Dellepiane, Gianni L. Vernazza

Proceedings Volume 1606, Visual Communications and Image Processing '91: Image Processing; (1991) https://doi.org/10.1117/12.50383
Event: Visual Communications, '91, 1991, Boston, MA, United States

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.

Citation Download Citation

Giovanni Venturi, Silvana G. Dellepiane, and Gianni L. Vernazza "Biomedical structure recognition by successive approximations", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50383

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