Fast neural-network-based image segmentation
Sławomir Skoneczny , Jarosław Szostakowski , Marcin Iwanowski , A Orłowski
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.
|Journal series||Proceedings of SPIE: The International Society for Optical Engineering, ISSN 0277-786X, e-ISSN 1996-756X|
|Publication size in sheets||0.5|
|Publication indicators||= 0; = 0; : 1999 = 0.207|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.