OpenCV-Based Automatic Detection System for Automobile Meter

Ze Long Hao; Xu Hui Chen; Jian Qiang Hu; Xuan Wen; Xiao Dong Wang

doi:10.4028/www.scientific.net/AMM.615.149

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 615OpenCV-Based Automatic Detection System for...

OpenCV-Based Automatic Detection System for Automobile Meter

Abstract:

For the universality of computer vision in the automatic detection of pointer instrument, an OpenCV-based automatic detection system for automobile meter was proposed and realized. The original video image was pre-processed through the filtering and SURF algorithm was used for the registration of template and test instruments to obtain the transformation parameters. Pointer and dial were treated respectively. Through the gray-scale images subtraction, Canny edge extraction and Hough line detection, the straight line where the pointer was obtained rapidly. Then the pointer readings were obtained through functional relation between the point angle and actual value. Experimental results show that this system can be used to conduct the real-time and automatic detection of different types of meters.

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Periodical:

Applied Mechanics and Materials (Volume 615)

Pages:

149-152

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.615.149

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Online since:

August 2014

Authors:

Ze Long Hao, Xu Hui Chen*, Jian Qiang Hu, Xuan Wen, Xiao Dong Wang

Keywords:

Dial Correction, Image Processing, OpenCV, Pointer Meter, SURF, Universality

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* - Corresponding Author

References

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