[1]江良洲 龙凤.磨粒图像自动拼接与预处理技术研究[J].计算机技术与发展,2010,(10):250-253.
　JIANG Liang-zhou,LONG Feng.Wear Particle Image Mosaicing and Preprocessing Technique Research for Ferrography[J].,2010,(10):250-253.
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磨粒图像自动拼接与预处理技术研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2010年10期
页码:
250-253
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Wear Particle Image Mosaicing and Preprocessing Technique Research for Ferrography
文章编号:
1673-629X（2010）10-0250-04
作者:
江良洲 龙凤
第二炮兵工程学院装备管理工程系
Author(s):
JIANG Liang-zhou; LONG Feng
Department of Equipment Management Engineering,Second ArtilleryEngineering Institute
关键词:
图像拼接; 图像预处理; 铁谱技术; 磨粒
Keywords:
image mosaicing;  image preprocessing;  ferrography;  wear particle
分类号:
TP391.41 TH117.1
文献标志码:
A
摘要:
磨粒图像拼接是铁谱分析技术中遇到的难题之一。为了解决该问题,介绍了图像拼接的原理,分析了磨粒图像拼接的特点。在介绍了各种图像拼接方法优缺点的基础上,分析了适合于磨粒图像的拼接方法,并提出了改进算法,综合考虑了算法的速度和算法效果,给出了实现方法与途径。实验结果表明,其中基于比值的方法程序实现容易,速度快;基于图像相关性的配准方法稳定可靠,加上基于直方图的模版自适应选取,提高了磨粒拼接的自动化程度
Abstract:
Wear particle image mosaicing is important for ferrography.In order to solve this problem,mosaicing theory and wear particle image characteristic is introduced.Analyze the mosaicing methods and present the improved algorithm based on advantage and disadvantage in image mosaicing methods.Considering the balance between algorithm speed and effect,mosaicing methods and its realizing steps for wear particle images are presented.Experimental results show that,the method based on the ratio between different pixels in images is easy and fast for computer processing,while the method based on image relativity is steady and reliable.Using histogram,template automatic selecting for wear particle image mosaicing is realized

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备注/Memo

备注/Memo:
国家自然科学基金资助项目（60672108）江良洲（1983-）,男,博士,从事设备故障诊断与装备管理方面的学习研究
更新日期/Last Update: 1900-01-01