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Proceedings Paper

Fast neural-network-based image segmentation
Author(s): Slawomir Skoneczny; Jaroslaw Szostakowski; Marcin Iwanowski; Andrzej Orlowski
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Paper Abstract

Image segmentation is a process in which from all the picture important information is extracted enabling distinguishing between objects and background of the image. There are several methods of image segmentation depending on different kinds of specimens and usually on some a priori knowledge of the picture. Segmentation consists of clustering and classification. In this paper an improved version of neural network implementation of image segmentation methods is presented. Both clusterization and classification stages can be performed by neural network approach. Theoretical investigations and practical results are described.

Paper Details

Date Published: 14 October 1997
PDF: 8 pages
Proc. SPIE 3167, Statistical and Stochastic Methods in Image Processing II, (14 October 1997); doi: 10.1117/12.279639
Show Author Affiliations
Slawomir Skoneczny, Warsaw Univ. of Technology (Poland)
Jaroslaw Szostakowski, Warsaw Univ. of Technology (Poland)
Marcin Iwanowski, Warsaw Univ. of Technology (Poland)
Andrzej Orlowski, Warsaw Univ. of Technology (Poland)

Published in SPIE Proceedings Vol. 3167:
Statistical and Stochastic Methods in Image Processing II
Francoise J. Preteux; Jennifer L. Davidson; Edward R. Dougherty, Editor(s)

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