Image recognition algorithm based on Parameter Optimization of gravitational search

被引：0
|
作者：
Lei Hu [1 ]
机构：
[1] Xian Fanyi Univ, Xian 710105, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONICS, NETWORK AND COMPUTER ENGINEERING (ICENCE 2016) | 2016年 / 67卷
关键词：
Gravitational search algorithm; Parameter optimization; Image recognition;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Image characteristic value extracted by gravitational search algorithm improves the image retrieval accuracy. The distance between the image characteristic values is as the input value, accuracy of image recognition is calculated by pulse coupled network variates optimized of Gravitational search algorithm. The retrieval accuracy of pulse coupled network optimized by gravitational search algorithm improves by 7% at least than method of relevance feedback, color edge combined discrete wavelet transform.
引用
收藏
页码：594 / 598
页数：5
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