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金相图象分析中特征信息提取技术
引用本文:孙宇,张世琪,徐天祥.金相图象分析中特征信息提取技术[J].南京理工大学学报(自然科学版),1989(4).
作者姓名:孙宇  张世琪  徐天祥
作者单位:机械制造系 (孙宇,张世琪),机械制造系(徐天祥)
摘    要:金相图象特征信息提取是进行金相分析的关键.本文在分析金相图象的区域和边缘(晶界)二类特征信息基础上,指出采用基于熵概念的图象阈值化技术可实现区域特征提取.用微分算子实现边缘(晶界)提取后,采用适合晶界及网状结构的滤波方法进行滤波,从而实现边缘(晶界)的准确提取,并通过实验验证了上述方法的有效性.

关 键 词:金相技术[66AA]  图象处理[58AA]  特征选择[58AA]

The Extracting Features of Metallography in Image Analysis
Sun Yu,Zhang Shiqi,Xu Tianxiang.The Extracting Features of Metallography in Image Analysis[J].Journal of Nanjing University of Science and Technology(Nature Science),1989(4).
Authors:Sun Yu  Zhang Shiqi  Xu Tianxiang
Institution:Sun Yu;Zhang Shiqi;Xu Tianxiang
Abstract:The extracting features of metallography is the key to metallographic analysis. On the basis of analyzing area and edgr (grain boundary)features of metallography, this paper indicates: image threshoiding using entropycan extract area feature; as edge is extracted by differential operator, noise is filt-ed by a new method suitable for grain boundare and net-structure. The experi-mental results show the efficiency of the method.
Keywords:Metallographic technology  Image analysis  Feature selection
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