兵工自动化2012，Vol.31Issue(1)：78-80,3.DOI:10.3969/j.issn.1006-1576.2012.01.023
基于图像纹理特征的炮膛疵病检测方法
The Detection of Gun Bore Flaw Based on Textural Features of Image
原瑞宏 1刘军卿 1董自卫 1黄文胜 1祝天宇1
作者信息
- 1. 武汉军械士官学校枪炮系,武汉430075
- 折叠
摘要
Abstract
In order to solve the problem of extracting features of flaw images of gun bore, extracting textural features of flaw images is proposed. The characteristics of several kinds of flaws of gun bore are analyzed. The concept of grey level co-occurrence triangular matrix (GLCTM) and four parameters of grey level co-occurrence matrix are applied to extract features of images. The experimental results show that the proposed method can abridge calculation time and reflect grey airspace information of images well, so the proposed method is effective.关键词
炮膛/疵病/灰度共生三角阵/纹理特征Key words
gun bore/ flaw/ GLCTM/ textural feature分类
军事科技引用本文复制引用
原瑞宏,刘军卿,董自卫,黄文胜,祝天宇..基于图像纹理特征的炮膛疵病检测方法[J].兵工自动化,2012,31(1):78-80,3.
