|Table of Contents|

Image Segmentation of Ferrography Wear Particles Based On Mathematical Morphology

《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

Issue:
2005年01期
Page:
70-72
Research Field:
Publishing date:

Info

Title:
Image Segmentation of Ferrography Wear Particles Based On Mathematical Morphology
Author(s):
LI Feng1;  XU Cheng1;  REN Guo-quan2;  GAO Jing-wei2
1. School of Mechanical Engineering, NUST, Nanjing 210094, China; 2. Department of Guns Engineering, Ordance Engineering College, Shijiazhuang 050003, China
Keywords:
mathematicalmorpho logy;  ferrography;  image segm entation;  edge detection
PACS:
TH117.1
DOI:
-
Abstract:
In ferrography image recognition, the conglutinat ion o fw ear particles does not keep w ear part-i cles in orig inal shape after b inary im age segmentat ion. M athemat icalmorpho logy is introduced to ferrography w ear particle image segmentat ion. How to implement binary image segmentat ion by using erosion and dilation a lgorithm w as studied, and the edge o f sing lew ear particle w as successfully detected w ith Lap lacian. The result proves the method used in the ferrography image segmentation is effective and helpfu l to realize the auto recognition of w ear particles.

References:

[ 1] 潘建军. 磨损形态分析系统研究[ D] . 北京: 清华大学精密仪器与机械学系, 1999.
[ 2] 张鄂. 铁谱技术及其工业应用[M ]. 西安: 西安交通大学出版社, 2001.
[ 3] 何斌, 马天予, 王运坚, 等. V isua l C+ + 数字图像处理 [M ] . 北京: 人民邮电出版社, 2001.
[ 4] 张翔, 刘媚洁, 陈立伟. 基于数学形态学的边缘提取方法[ J]. 电子科技大学学报, 2002, 31( 5): 491- 493.
[ 5] 安德森D P. 磨粒图谱[M ]. 全元生, 杨其明译. 北京: 机械工业出版社, 1987

Memo

Memo:
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Last Update: 2013-03-03