Fast neural-network-based image segmentation

Sławomir Skoneczny , Jarosław Szostakowski , Marcin Iwanowski , A Orłowski

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. ©2004 Copyright SPIE - The International Society for Optical Engineering.

Author Sławomir Skoneczny (FoEE / ICIE)
Sławomir Skoneczny,,
- The Institute of Control and Industrial Electronics
, Jarosław Szostakowski (FoEE / ICIE)
Jarosław Szostakowski,,
- The Institute of Control and Industrial Electronics
, Marcin Iwanowski (FoEE / ICIE)
Marcin Iwanowski,,
- The Institute of Control and Industrial Electronics
, A Orłowski (WUT)
A Orłowski,,
- Warsaw University of Technology
Journal seriesProceedings of SPIE: The International Society for Optical Engineering, ISSN 0277-786X, e-ISSN 1996-756X
Issue year1997
Vol3167
Pages164-171
Publication size in sheets0.5
DOIDOI:10.1117/12.279639
Languageen angielski
Score (nominal)0
Score sourcejournalList
Publication indicators Scopus Citations = 0; WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper) [Not active]: 1999 = 0.207
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