Research on the Recursive and Step-by-Step Algorithm for Extraction of Point Laser Spot Center

Abstract:

Whentesting the flatness of plate iron, if there is no disturbance in the spotdetection, the traditional centroid method and circle fitting method can bewell applied to extract the point laser spot center. However, the disturbanceof droplets, dusts, oil droplet and other factors are unavoidably in thepractical projects, and then the detection precision will falls sharply. In orderto solve the problem, the recursive and step-by-step method of extracting pointlaser spot center is proposed. There are two steps in this method.The thresholdcentroid method is used as the first step to extract the spots which containthe black blocks. The second step is to construct the template whose center hasa black block, then extract the black block center by running phase correlationalgorithm and the center is just the center of the point laser spot. Theresults of experiments verify that the precision of the spot center coordinateextracted by the proposed method is obviously higher than that extracted by thecentroid method and the circle fitting method with the disturbance of droplets.

• Periodical: Advanced Materials Research (Volumes 1079-1080)
• Pages: 991-997
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1079-1080.991
• Online since: December 2014
• Authors: Xu Xiao Hu, Ji Li*, Ming Min Yang
• Keywords: Extraction Algorithm, Phrasecorrelation, Spot Center, Step-by-Step

References

[1] Jie Zhao, Yongmin Yang. Ge Li, The Cold Rolling Strip Surface Defect On-Line Inspection System Based on Machine Vision, in: Second Pacific-Asia Conference on Circuits, Communications and System (PACCS), 2010, pp.402-405.

DOI: 10.1109/paccs.2010.5626924

[2] Julio Molleda, Rubén Usamentiaga, Daniel F. García, Shape Measurement of Steel Strips Using a Laser-Based Three-Dimensional Reconstruction Technique, Transactions on Industry Applications 47(4) (2011) 1536-1544.

DOI: 10.1109/tia.2011.2155019

[3] Lopez. Carlos, Garcia. Daniel, Usamentiaga. Ruben, et al., Real time system for flatness inspection of steel strips, Proceeding of SPIE-The International Society for Optical Engineering 5679 (2005) 228-238.

DOI: 10.1117/12.585902

[4] HE Miao, TANG Yu-guo, CHEN Shao-jie, et al., Position Acquiring of Signal Spots in the Echelle Spectrograph, Spectroscopy and Spectral Analysis 32(3) (2012) 849-853.

[5] FAN Qiao-yun, ZHANG Guang-jun, Spot centroiding algorithm for discrete noise image and its hardware implementation, Optics and Precision Engineering 19(12) (2011) 2992-2998.

DOI: 10.3788/ope.20111912.2992

[6] Lu, YH, Lu, WK, Edge-preserving polynomial fitting method to suppress random seismic noise, Geophysics 74(4) (2009) 69-73.

DOI: 10.1190/1.3129907

[7] HE Yi-kang, SUN Dan, et al., Harmonic detection an AC excited generation system based on in-phase correlation filtering, JOURNAL OF ZHEJIANG UNIVERSITY(SCIENCE) 3(1) (2002) 65-71.

DOI: 10.1631/jzus.2002.0065

[8] WANG Yu-tang, FU Meng-yin, YANG Yi, Fast speedometer identification in dynamic scene based on phase correlation, Journal of Beijing Institute of Technology 21(3) (2012) 394-399.

[9] Juanjuan Zhu, Baolong Guo, Video stabilization with sub-image phase correlation, CHINESE OPTICS OF LETTERS 4(9) (2006) 553-555.

[10] Jaime S. Raben, Steven A. Klein, Jonathan D. Posner et al., Improved accuracy of time-resolved micro-Particle Image Velocimetry using phase-correlation and confocal microscopy, Microfluidics and nanofluidics 14(3/4) (2013) 431-444.

DOI: 10.1007/s10404-012-1062-z

[11] Zhou Xuchao, Tu Dawei, et al., Moving object detection under dynamic background based on phase-correlation and differential multiplication, CHINESE JOURNAL OF SCIENTIFIC INSTRUMENT 31(5) (2010).

[12] ZHAO Ji-wen, HUANG Biao, et al., Detection of motor rotor position based on image reversible phase-correlation algorithm, Optics and Precision Engineering 21(6) (2013).

DOI: 10.3788/ope.20132106.1613

[13] Ashutosh, Deepak Sharma, Image Encryption Using Discrete Fourier Transform and Fractional Fourier Transform, International Journal of Engineering and Advanced Technology 2(4) (2013).

DOI: 10.1016/j.protcy.2013.12.413

[14] YANG Wei-jun, ZHANG Chao-jie, et al., A fast acquisition method of DSSS signals using differential decoding and fast Fourier transform, Journal of Central South University 20(5) (2013) 1285-1291.

DOI: 10.1007/s11771-013-1613-9

[15] WANG Zhi-min, XU Xiao-gang, Fast Electronic Image Stabilization Based on Phase Correlation in Single-quadrant Fourier-Mellin Domain, JOURNAL OF IMAGE AND GRAPHICS 14(9) (2009).