Automatic extraction of bead-like particle regions of fly ash in scanning electron microscope images

doi:10.3724/SP.J.1087.2012.01570

Journal of Computer Applications ›› 2012, Vol. 32 ›› Issue (06): 1570-1573.DOI: 10.3724/SP.J.1087.2012.01570

• Graphics and image technology • Previous Articles Next Articles

Automatic extraction of bead-like particle regions of fly ash in scanning electron microscope images

LI Ying-ying¹,²,TAN Jie-qing³,ZHONG Jin-qin¹,LI Yan⁴

1. College of Computer and Information, Hefei University of Technology, Hefei Anhui 230009, China
2. School of Electronic and Information Engineering, Anhui University of Architecture, Hefei Anhui 230601, China
3. School of Mathematics, Hefei University of Technology, Hefei Anhui 230009, China
4. School of Materials and Chemical Engineering, Anhui University of Architecture, Hefei Anhui 230601, China

Received:2012-01-09 Revised:2012-03-01 Online:2012-06-04 Published:2012-06-01
Contact: LI Ying-ying

扫描电子显微镜图像中粉煤灰珠状颗粒区域的自动提取

李莹莹¹,²,檀结庆³,钟金琴²,李燕⁴

1. 安徽建筑工业学院电子与信息工程学院, 合肥 230601
2. 合肥工业大学计算机与信息学院, 合肥 230009
3. 合肥工业大学数学学院,合肥230009
4. 安徽建筑工业学院材料与化学工程学院, 合肥 230601

通讯作者: 李莹莹
作者简介:李莹莹(1975-), 女, 安徽淮北人,博士研究生,主要研究方向: 计算机图形学、图像处理;〓檀结庆(1962-),男,安徽望江人, 教授, 博士生导师,主要研究方向:非线性数值逼近理论与方法、科学计算、计算机辅助几何设计、计算机图形学、图像处理;〓钟金琴(1973-),女,安徽合肥人,博士研究生,主要研究方向：计算机图形学、图像处理；〓李燕(1964-)，女，山东青州人，教授，博士，主要研究方向：无机材料的制备与性能。
基金资助:
国家自然科学基金资助项目;国家自然科学基金-广东联合基金重点项目;973计划子课题项目

Abstract

Abstract: An unsupervised extraction method is proposed in order to extract bead-like particles regions of fly ash from scanning electron microscope image, which is based on region growing with gray similarity bounded by gradient and shape. The process is automatic, including seeds selecting , regions growing and shape distinguishing. The experimental error is measured by the acreage probability of missing segmentation and false segmentation. The minimum error rate of the experimental results is 6.8%, and the average error rate is 8%. The time of extraction from 60 SEM images is within 10 minutes. The method is effective for the content estimate of fly ash in the material.

Key words: scanning electron microscope image, fly ash, gradient, region growing, automatic extraction

摘要： 针对扫描电子显微镜图像中粉煤灰区域的提取问题，该文提出了基于区域生长的珠状颗粒区域提取方法。该方法自动选取种子区域，在边界约束下按灰度相似度生长，生长区域结合形状特征提取目标。提取结果比对人工提取区域，提取误差用提取面积的错分率和漏分率之和表示。实验的最小提取误差是6.8%，平均提取误差是8%，自动提取60张SEM图像的时间小于10分钟。提取时间和误差均可达到估算粉煤灰含量的要求。

关键词: 扫描电子显微镜图像, 粉煤灰, 梯度, 区域生长, 自动提取

CLC Number:

TP391. 41

LI Ying-ying TAN Jie-qing ZHONG Jin-qin LI Yan. Automatic extraction of bead-like particle regions of fly ash in scanning electron microscope images[J]. Journal of Computer Applications, 2012, 32(06): 1570-1573.

李莹莹檀结庆钟金琴李燕. 扫描电子显微镜图像中粉煤灰珠状颗粒区域的自动提取[J]. 计算机应用, 2012, 32(06): 1570-1573.

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Automatic extraction of bead-like particle regions of fly ash in scanning electron microscope images

扫描电子显微镜图像中粉煤灰珠状颗粒区域的自动提取

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