The Template Matching Research Based on Multiple Images Fusion

Chang Jie Liu; Jia Jing Pi; Sheng Hua Ye

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 655-657The Template Matching Research Based on Multiple...

The Template Matching Research Based on Multiple Images Fusion

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 655-657)

Pages:

993-999

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.655-657.993

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Online since:

January 2013

Authors:

Chang Jie Liu*, Jia Jing Pi, Sheng Hua Ye

Keywords:

Autocar-Body Inspection, Gray Matching, Template Matching, Visual Inspection

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* - Corresponding Author

References

[1] Changjie Liu, Jigui Zhu, Xueyou Yang and Shenghua Ye: Autocar-body On-line Laser Inspection System with Machine Vision, Chinese Journal of Scientific Instrument, Vol.25 No.4 (2004), pp.671-672. (In Chinese)

Google Scholar

[2] Ningjiang Chen and Jiegu Li: Image matching using normalized intensity combination method, Infrared and Laser Engineering, Vol.29 No.5 (2000), pp.5-9. (In Chinese)

Google Scholar

[3] Yi Xu, Jun Zhou and Yuanhua Zhou: On Stereo Matching Technology, Computer Engineering and Applications, Vol.39 No.15 (2003), pp.1-5. (In Chinese)

Google Scholar

[4] Lifang Chen, Yuan Liu and Wenbo Xu: Improved normalized correlation method of gray image template matching method, Computer Engineering and Applications, Vol.47 No.26 (2011), pp.181-183.(In Chinese)

Google Scholar

[5] Xiaowen Qin, Zhifang Wen and Weiwei Qiao: Image processing based on OpenCV, Electronic Test, Vol.7 (2011), pp.39-41. (In Chinese)

Google Scholar