Study on method of wear particle image mosaic based on wavlet fusion

LI Shao-cheng1; ZUO Hong-fu2

doi:10.13873/j.1000-97872011.10.028

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Study on method of wear particle image mosaic based on wavlet fusion

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- Study on method of wear particle image mosaic based on wavlet fusion
- Vol. 30, Issue 10, Pages: 44-46+49(2011)
- 作者机构：
  
  1. 南京林业大学木材工业学院
  2. 南京航空航天大学民航学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872011.10.028
  CLC： TP391.41
- Published：2011
- 稿件说明：
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[1]李绍成,左洪福.基于小波融合的磨粒图像拼接方法研究[J].传感器与微系统,2011,30(10):44-46+49.

LI Shao-cheng1, ZUO Hong-fu2. Study on method of wear particle image mosaic based on wavlet fusion[J]. 2011, 30(10): 44-46+49.
[1]李绍成,左洪福.基于小波融合的磨粒图像拼接方法研究[J].传感器与微系统,2011,30(10):44-46+49. DOI： 10.13873/j.1000-97872011.10.028.

LI Shao-cheng1, ZUO Hong-fu2. Study on method of wear particle image mosaic based on wavlet fusion[J]. 2011, 30(10): 44-46+49. DOI： 10.13873/j.1000-97872011.10.028.

摘要

针对大磨粒检测要求

研究了大磨粒图像采集和处理方法

分析了磨粒图像特点;根据待拼接磨粒图像特点

采用了相位相关的磨粒图像配准方法

提出了基于系数矩阵和小波融合的磨粒图像拼接方法。磨粒图像拼接结果表明:提出的方法具有较好的效果

为后续的磨粒特征参数提取和磨粒识别提供了较好的基础。

Abstract

Aiming at the demand of large wear particle detection

the method of large wear particle image capture and processing is studied.The characteristic of wear particle iamge is analyzed.According to charsteristic of mosaicing wear particle image

phase correlation registration method is used.The method of wear particle image mosaic is put forward based on coefficient matrix and wavelet fusion.Wear particle image mosaic results show that the proposed method of wear particle image mosaic is effective.It provide good basis for subsequent wear particle characteristic parameters extraction and identification.

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references

基于相位相关和差分相乘的动态背景下运动目标检测 [J]. 周许超,屠大维,陈勇,赵其杰,张翼成. 仪器仪表学报 . 2010(05)

油液分析技术及其在状态监测中的应用 [J]. 王坚,张英堂. 润滑与密封 . 2002(04)

液压系统污染控制[M]. 机械工业出版社 , 夏志新编著, 1992

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