Research of Video Object Segmentation Algorithm Based on Fuzzy Classification

被引：0
|
作者：
Qu Qing-hong [1 ]
机构：
[1] Baicheng Normal Univ, Baicheng 137000, Peoples R China
来源：
2012 2ND INTERNATIONAL CONFERENCE ON APPLIED ROBOTICS FOR THE POWER INDUSTRY (CARPI) | 2012年
关键词：
fuzzy classification; video object; membership grade function;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper presented a kind of video object segmentation algorithm based on fuzzy classification and determined the membership grade function of motion change area and relative noise region. On the basis of the established fuzzy classification principles function, the algorithm obtained the best division by the means of optimization calculations, so that it could detect motion change area and generate video object combined with the boundary characteristics of the current frame.
引用
收藏
页码：416 / 418
页数：3
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