A Texture Enhancement Method of Fractographic SEM Image

被引：0

作者：

Sun, Zhen ^{[1
]}

Wu, Jun-fei ^{[1
]}

Li, Qing-dang ^{[1
]}

机构：

[1] Qingdao Univ Sci & Technol, Qingdao 266061, Shandong, Peoples R China

来源：

2018 3RD INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL AND ELECTRICAL ENGINEERING (AMEE 2018) | 2018年 / 298卷

关键词：

Texture enhancement; Gaussian filter; Fractographic image; Fractographic SEM;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The automatic texture enhancement of metal fractographic SEM images is an important part of the metal failure analysis. In this paper, we present a texture enhancement method based on Gaussian high-pass filtering. We find the new method have more clear and useful than other approach in fractographic image. Experimental results show that the texture enhanced images can be classified easily in metal failure analysis process.

引用

页码：549 / 552

页数：4

共 11 条

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