Expert Segmentation for the Extraction of Biomedical Structures in Microscopical Images

A. Botto; A. Casali; S. Dellepiane; G. Ghilino; G. Vernazza

doi:10.1117/12.953260

25 May 1989 Expert Segmentation for the Extraction of Biomedical Structures in Microscopical Images

A. Botto, A. Casali, S. Dellepiane, G. Ghilino, G. Vernazza

Proceedings Volume 1092, Medical Imaging III: Image Processing; (1989) https://doi.org/10.1117/12.953260
Event: Medical Imaging III, 1989, Newport Beach, CA, United States

Abstract

To overcome the typical difficulties for the extraction of biomedical structures in microscopical images, a knowledge-based system has been designed with the aim of performing a model-driven segmentation towards automatic structure recognition. The work deals with the characterization of cell populations in human embryonal and foetal organs, in particular blood vessels and nervous cells. By using a-priori known description (in linguistic form) about the structures to be detected, a thresholding segmentation is initially used for locating darker pixels (markers). Then gradient extraction, region-growing, or other techniques are invoked around the area bounding markers. The computation of some specific attributes of the analyzed areas drives the recognition process allowing to maintain regions where structures are detected, and discard regions where structure presence is not verified. The segmentation and recognition process is controlled by a production system whose rules are activated on the basis of the input data, the progressive results, and the information (provided by the user) about the structures to be localized. Some results are presented to the user, obtained by changing processing parameters. They correspond to recognized maps with different reliability factors.

Citation Download Citation

A. Botto, A. Casali, S. Dellepiane, G. Ghilino, and G. Vernazza "Expert Segmentation for the Extraction of Biomedical Structures in Microscopical Images", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); https://doi.org/10.1117/12.953260

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