首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于纹理特征融合的煤矸石分选技术研究
引用本文:兰添才,郑汉垣.基于纹理特征融合的煤矸石分选技术研究[J].龙岩学院学报,2008,26(6).
作者姓名:兰添才  郑汉垣
作者单位:龙岩学院数学与计算机科学学院,福建龙岩,364012
基金项目:福建省自然科学基金 , 福建省教育厅科学研究项目  
摘    要:提出了一种新的基于纹理特征融合的煤矸石分选方法.设计了一种纹理特征提取算法.选取多个纹理特征作为分类器的输入特征,并对选择出的分类特征进行融合,最后采用神经网络分类器实现煤矸石的分选.实验结果表明,本文所提出的分选方法达到了较高的识别正确率,且能够满足实时要求.

关 键 词:煤矸石分选  纹理特征  特征融合  神经网络

Research on Separation Technology of Coal and Gangue Based on Texture Features Fusion
LAN Tian-cai,ZHENG Han-yuan.Research on Separation Technology of Coal and Gangue Based on Texture Features Fusion[J].Journal of Longyan Univercity,2008,26(6).
Authors:LAN Tian-cai  ZHENG Han-yuan
Abstract:A novel method for separation of coal and gangue based on texture features fusion is presented and a new algorithm for texture feature extraction is designed in this paper.Some multiple texture features as the input characteristics for classifier are selected and then fused.Lastly,the neural network is used to realize the separation of coal and gangue.Experiment results show that the recognition rate of coal and gangues is increased by this algorithm and it can meet the requirements of real time.
Keywords:separation of coal and gangue  texture feature  feature fusion  neural network  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号