Automatic check method of vehicle digital dashboard based on wavelet-based multi-scale GVF snake

Hong-wei Zhang; Jian-wei Zhang; Jian Cao; Wu-lin Wang; Jin-feng Gong; Xu Wang

doi:10.1117/12.784396

9 January 2008 Automatic check method of vehicle digital dashboard based on wavelet-based multi-scale GVF snake

Hong-wei Zhang, Jian-wei Zhang, Jian Cao, Wu-lin Wang, Jin-feng Gong, Xu Wang

Proceedings Volume 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials; 679415 (2008) https://doi.org/10.1117/12.784396
Event: ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 2007, Gifu, Japan

Abstract

The high accuracy of the vehicle digital dashboard makes it difficult to check its error in real time. On taking the advantage of is production condition, the digital image processing method can be used to check the dashboard's precision automatically. The image edge detection method is the key of our dashboard check method. The snake model has been extensively used today. The GVF snake model overcomes the traditional snake model's shortcoming, it has a large capture range and is able to move into boundary concavities. But it still needs large amount of computation and is easily to be disturbed by noise. The wavelet-based multi-scale GVF snake took the advantage of the wavelet transform and GVF model. In the lower resolution, there were less wavelet coefficients and the GVF snake was easy to deform to the contour without much computation and was less interfered by noise. In higher resolution, with taking advantage of the initial position of the foregoing resolution, much more computation would be saved. Experiments show this method can detect the position of the pointer automatically and exactly.

Citation Download Citation

Hong-wei Zhang, Jian-wei Zhang, Jian Cao, Wu-lin Wang, Jin-feng Gong, and Xu Wang "Automatic check method of vehicle digital dashboard based on wavelet-based multi-scale GVF snake", Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 679415 (9 January 2008); https://doi.org/10.1117/12.784396

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