基于水域生长的超细晶钢金相图像复原方法  

Restoring method of metallographic image of ultra-fine grain steel based on water-growing

作　　者：李新城[1] 赵从光[1] 朱伟兴[2] 马正建[1] 庄志平[1] 张云[1] 

机构地区：[1]江苏大学机械工程学院,江苏镇江212013 [2]江苏大学电气工程学院,江苏镇江212013

出　　处：《材料热处理学报》2013年第9期69-73,共5页Transactions of Materials and Heat Treatment

基　　金：国家自然科学基金(50775102);江苏高校优势学科建设工程资助项目

摘　　要：针对超细晶钢金相图像中所特有的晶界模糊、晶界缺失等缺陷,提出了一种基于水域生长的图像复原处理方法。根据粘连晶粒形状不规则的形态特征,对粘连目标采用极限腐蚀、目标编号和反复膨胀的方法求取晶界以达到分离粘连晶粒,复原图像的目的。通过与人工图像复原效果对比表明,该方法对缺陷晶粒及其它缺陷目标具有很好的复原和再现效果。高效、便捷地解决了晶界模糊、晶界缺失等问题,为超细晶钢的定量金相分析提供了可靠依据。In order to solve the problem of fuzzy or disconnected grain boundaries in metallographic images ot ultra-fine grain steel, image restoring method based on water-growing is proposed. According to the irregular shape characteristic of the adhesion grains, the grain boundaries are obtained by ultimate eroding, numbering the objects, and repeated dilation. So the adhesion grains are split and images are restored. Experiment results show that, compared with manual restoring result, this method cart split grains and restore image very well. It solves the problem of fuzzy or disconnected grain boundaries quickly and conveniently. This method is useful and efficient to the quantitative analysis of ultra-fine grain steel.

关 键 词：超细晶钢 显微组织 图像复原 水域生长 定量金相分析 

分 类 号：TG113.1[金属学及工艺—物理冶金]