Hand Skin Color Segmentation Using Online Training Artificial Neural Networks

被引：0
|
作者：
Cui, Yuxin [1 ]
Zhang, Yang [2 ]
Cui, Yuting [3 ]
机构：
[1] Shenyang Aviat Vocat Tech Colleage, Shenyang, Liaoning, Peoples R China
[2] Naval Aeronaut Mil, Representat Off Shenyang, Shenyang, Liaoning, Peoples R China
[3] Sinopec Qilu Co, Zibo, Shandong, Peoples R China
来源：
2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) | 2013年
关键词：
IMAGE SEGMENTATION; CLASSIFICATION;
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：
A new approach for the hand image segmentation is presented in this paper. This method integrates the merits of histogram threshold, seeded region growing (SRG) and the Restricted Coulomb Energy (RCE) neural network. The performance of our proposed method is quantitatively compared with these three methods conducted independently. Experimental results have shown that our method is effective for the segmentation, which can be further used in the gesture-based human-computer interaction.
引用
收藏
页码：242 / 246
页数：5
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