The Template Matching Research based on Multiple Images Fusion

被引：0

作者：

Liu, Changjie ^{[1
]}

Pi, Jiajing ^{[1
]}

Ye, Shenghua ^{[1
]}

机构：

[1] Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China

来源：

ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES, PTS 1-3 | 2013年 / 655-657卷

关键词：

Visual inspection; Autocar-body inspection; Template matching; Gray matching;

D O I：

10.4028/www.scientific.net/AMR.655-657.993

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Visual inspection has been widely used in the field of automobile industry. On a car production line, we use an online monitoring system to measure the same feature region of a work piece. Traditionally one picture is chosen as the template and used for other target measurements. However, this method tends to causing measurement error. In this paper a new algorithm is proposed which can generate a better template by multiple pictures. The process is as following: we firstly match the feature area; secondly, the gray information of this area is segmented; then after optimizing a new template is finally formed. The experimental results show that the NMSD (Normalized Mean Square Difference) is 0.0047 when we use the old template to match 10 pictures, but with the new one, the NMSD is only 0.0005. These results show that the new template is more accurate and stable.

引用

页码：993 / 999

页数：7