Improvements in image segmentation by applying Hopfield neural networks

被引:0
|
作者
Uscumlic, Marija [1 ]
Reljin, Irini [1 ]
Dujkovic, Dragi [1 ]
Reljin, Branimir [1 ]
机构
[1] Univ Belgrade, Fac Elect Engn, Bulevar Kralja Aleksandra 73, Belgrade 11000, Serbia
关键词
color image segmentation; mean shift algorithm; shape regularization; dominant segment spread; Hopfield neural network;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Hundreds of algorithms for different aspects of image segmentation have been developed. In this paper goals (if using segmentation in video and multimedia systems are considered. Thus direction of improvements is towards forming masks ant) matte signals. The idea is to spread locally dominant segment in already segmented image. This problem is set as optimization problem and solution can be achieved by Hopfield neural network. Presented results are obtained applied to color detected segmentation, performed by mean shift algorithm.
引用
收藏
页码:37 / +
页数:2
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