Measurement of Rotation Angle about Rotating Object Based on Digital Image

Abstract:

One measurement of rotation angle about rotating object was proposed, it can realize precise and non-contact measurement. This measurement was executed as follow: firstly, select one image that it has abundant information, and the object which need rotation was pasted by this image. Secondly, when this object is begin to rotation, use CCD to collect the external images of the object before and after rotation respectively. Lastly, convert these two collected images from Descartes coordinate to polar coordinate, then calculate these two images in polar coordinate with phase correlation. The rotated angle was found by these steps. The result of this measurement experiment shows that this method can measure the rotated angle correctly. So this measurement method is worth to research and apply according to the theory and the experiment.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 754-759
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.754
• Online since: December 2012
• Authors: Biao Huang, Ji Wen Zhao, Hong Biao Wu, Xue Min Fu
• Keywords: High Precision Measurement, Improved Polar Transform, Phase Correlation, Rotation Angle

References

[1] Egami, Shigeki, "Microscopic Faraday rotation measurement system using pulsed magnetic fields", Review of Scientific Instruments, Vol 80, 2006, pp.093705-5.

DOI: 10.1063/1.3229820

[2] S. Ottonelli, F. De Lucia, M. di Vietro, M. Dabbicco, and G. Scamarcio, "A no-contact laser sensor based on the Self- Mixing effect for the measurement of rotations", IEEE Conference Publications. Sensors 2008 IEEE, pp.317-320.

DOI: 10.1109/icsens.2008.4716445

[3] Wu Xianxian, Guo Baolon, Wang Juan, "Cylindrical Panoramic Image Automatic Mosaic Algorithm Based on Phase Correlation", Journal of Acta Optical Sinica, Vol 29, 2009, pp.1824-1829, In Chinese.

DOI: 10.3788/aos20092907.1824

[4] L. Pap, J.J. Zou and B. Uy, "Accurate measurement of translational shifts by adaptively masking phase correlation", Electronics Letters, Vol 48, 2006, p.20–22.

DOI: 10.1049/el.2011.2573

[5] Zhang Jing, Wang Chang-shun, Liao Wu-ling, "An image mosaics algorithm based on improved phase correlation", Environmental Science and Information Application Technology.2009. ESIAT 2009. International Conference on, vol 2, 2009, pp.383-386.

DOI: 10.1109/esiat.2009.184

[6] Rittavee Matungka, Student Member, IEEE, Yuan F. Zheng, Fellow, IEEE, and Robert L. Ewing, Senior Member, IEEE, "Image Registration Using Adaptive Polar Transform", IEEE Trans on image processing, vol 18, 2009, pp.2340-2354.

DOI: 10.1109/tip.2009.2025010

[7] Jing-Wein Wang, Tzu-Hsiung Chen, Chia-Nan Wang, "Image Sampling for Invariant Face Recognition", Computer. Consumer and Control (IS3C). 2012 International Symposium on, 2012, pp.479-482.

DOI: 10.1109/is3c.2012.127

[8] Sch. of Comput. Sci., Tel Aviv Univ., Israel, "Edge-enhancement postprocessing using artificial dissipation", Image Processing. IEEE Transactions on, vol 15, 2006, pp.1486-1498.

DOI: 10.1109/tip.2006.875734

[9] Sanjeev Kumar, Haleh Azartash, Mainak Biswas, and Truong Nguyen, "Real-Time Affine Global Motion Estimation Using Phase Correlation and its Application for Digital Image Stabilization", Image Processing. IEEE Transactions on, vol 20, 2011, pp.3406-3418.

DOI: 10.1109/tip.2011.2156420

[10] Vasileios Argyriou, Member, IEEE, "Sub-Hexagonal Phase Correlation for Motion Estimation", IEEE Trans on image processing, vol 20, 2011, pp.110-120.

DOI: 10.1109/tip.2010.2057438