摘要
利用小波变换处理图像数据已经在多领域有广泛的应用,因此该技术同样可应用于铁矿石矿相图的分析。为了分辨铁矿石中的夹杂物、非铁矿类物质或冶金废料,一些检验机构采用了矿相分析手段。介绍了基于Matlab的小波变换,对不同铁矿石矿相结构的特征信息进行提取,从而完成矿相的近似体积比定量分析,并通过分析、分类特征信息,对不同矿相图的不同矿物进行检索。
The wavelet analysis method was wildly used in different areas to deal with datum of figure,and can be also applied to minerals phases of iron ore.In order to distinguish inclusions,the non-ferrous minerals or metallurgic wastes,some inspection companies used the method of phase analysis.The method of characteristic information picking up for different minerals phases′ structure of iron ores was introduced on basis of wavelet analysis in Matlab.The quantitative analysis was realized about approximate volume of mineral.The different phases in different phase diagrams can be indexed through analyzing and sorting the information of characters.
出处
《钢铁研究学报》
CAS
CSCD
北大核心
2011年第8期59-62,共4页
Journal of Iron and Steel Research
基金
国家质检总局科研资助项目(2008IK265)
关键词
小波变换
铁矿石
矿相
非铁矿类物质
分析
检索
wavelet analysis
iron ore
minerals phases
non-iron ore′s materials
analysis
index
