[1]陈俊英,崔长彩.钎焊磨粒测量系统中的显微图像快速融合[J].华侨大学学报(自然科学版),2019,40(5):561-566.[doi:10.11830/ISSN.1000-5013.201901028]
　CHEN Junying,CUI Changcai.Microscope Image Quick Fusion inBrazed Grains Measurement System[J].Journal of Huaqiao University(Natural Science),2019,40(5):561-566.[doi:10.11830/ISSN.1000-5013.201901028]
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钎焊磨粒测量系统中的显微图像快速融合()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第40卷
期数:
2019年第5期
页码:
561-566
栏目:
出版日期:
2019-09-20

文章信息/Info

Title:
Microscope Image Quick Fusion inBrazed Grains Measurement System
文章编号:
1000-5013(2019)05-0561-06
作者:
陈俊英1; 2;  崔长彩1
1. 华侨大学 制造工程研究院, 福建 厦门 361021;2. 集美大学 机械与能源工程学院, 福建 厦门 361021
Author(s):
CHEN Junying1; 2;  CUI Changcai1
1. Institute of Manufacturing Engineering, Huaqiao University, Xiamen 361021, China; 2. College of Mechanical and Energy Engineering, Jimei University, Xiamen 361021, China
关键词:
钎焊磨粒;  聚焦评价函数;  图像融合;  暗通道先验
Keywords:
brazed grains;  focusing measure function;  image fusion;  dark channel prior
分类号:
TH742;TG74.3
DOI:
10.11830/ISSN.1000-5013.201901028
文献标志码:
A
摘要:
为了直观地表征钎焊砂轮表面磨粒的形貌,针对钎焊磨粒测量系统中显微镜头景深小,难于一次性清晰成像的问题,提出基于聚焦评价函数的磨粒显微图像快速融合方法.以聚焦评价函数的最大值为依据判别聚焦像素点,提取聚焦像素点颜色信息进行图像融合.针对特殊照明条件造成的融合误差进行误差补偿,对融合结果呈现的雾化现象,采用暗通道先验法进行去雾处理.实验结果表明:单颗磨粒137幅1 600 px×1 200 px显微图像融合过程用时5.10 s;文中方法可快速、直观地表征钎焊砂轮表面磨粒形貌.
Abstract:
In order to intuitively characterize the grain topography of brazed grinding wheel, aiming at the problem of difficultly capturing clear image due to the small depth of field of microscope lens adopted in the grain measurement system, a quick image fusion method based on focusing evaluation function was proposed. Focused pixels were determined based on the maximum of focusing evaluation function and the color information of focused pixels was extracted for image fusion. The errors caused by lighting situation were compensated and the dark channel prior algorithm was used to remove the foggy phenomenon of fused image. The experiment results show that a total of 137 images of a single grain with 1 600 px×1 200 px were fused in 5.10 s. The proposed method can quickly and intuitively characterize the grain topography on brazed grinding wheel surface.

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备注/Memo

备注/Memo:
收稿日期: 2019-01-07
通信作者: 崔长彩(1972-),女,教授,博士,博士生导师,主要从事表面形貌评定技术、表面形貌测量技术及自动测量仪器的研究.E-mail:cuichc@hqu.edu.cn.
基金项目: 国家自然科学基金资助项目(U1805251); 福建省厦门市科学技术局资助项目(3502Z20183019)
更新日期/Last Update: 2019-09-20