A GLASS IMAGE CLASSIFICATION METHOD BASED ON MULTI-FEATURE FUSION

被引：0
|
作者：
Zhang, Liang [1 ]
Wen, Jing [1 ,3 ]
Xu, Sheng-Zhou [4 ]
Xing, Hao-Yang [2 ]
Zhu, Yu [1 ]
Chen, Heng-Xin [1 ]
机构：
[1] Chongqing Univ, Coll Comp Sci, Chongqing, Peoples R China
[2] Huaxi Hosp, Magnet Resonance Imaging Res Ctr, Chengdu, Sichuan, Peoples R China
[3] Chengdu Univ, Key Lab Pattern Recognit & Intelligent Informat P, Chengdu, Sichuan, Peoples R China
[4] South Cent Univ Nationalities, Sch Comp Sci, Wuhan, Peoples R China
来源：
PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION (ICWAPR) | 2016年
关键词：
Shape features; Texture; Glass classification; Feature extraction; Distance classifier;
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：
In this work, a new glass classification method is proposed. Firstly, images are enhanced by image preprocessing. Secondly, a series of glass features including shape and texture features are proposed. Finally, we employ simple minimum distance classifier to classify the input glass images. The experimental results show that the proposed method has high classification efficiency and accuracy.
引用
收藏
页码：7 / 11
页数：5
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