Fast neural network based image segmentation

被引：0
|
作者：
Skoneczny, S
Szostakowski, J
Iwanowski, M
Orlowski, A
机构：
来源：
STATISTICAL AND STOCHASTIC METHODS IN IMAGE PROCESSING II | 1997年 / 3167卷
关键词：
image processing; neural networks; segmentation;
D O I：
10.1117/12.279639
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：164 / 171
页数：8
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