Automatic image sementation based on a simplified pulse coupled neural network

被引：0
|
作者：
Bi, YW [1 ]
Qiu, TS [1 ]
Li, XB [1 ]
Guo, Y [1 ]
机构：
[1] Dalian Univ Technol, Sch Elect & Informat Engn, Dalian 116024, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 2 | 2004年 / 3174卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recent researches indicate that pulse coupled neural network (PCNN) can be effectively utilized in image segmentation. However, the near optimal parameter set should always be predetermined to achieve desired segmentation result for different images, which impedes its application for segmentation of various images. So far as that is concerned, there is no method of adaptive parameter determination for automatic real-time image segmentation. To solve the problem, this paper brings forward a new automatic segmentation method based on a simplified PCNN with the parameters determined by images' spatial and grey characteristics adaptively. The proposed algorithm is applied to different images and the experimental results demonstrate its validity.
引用
收藏
页码：405 / 410
页数：6
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