Light bar centerline extraction method based on density clustering

LIANG Yulong; DUAN Fajie

doi:10.7510/jgjs.issn.1001-3806.2020.04.011

LASER TECHNOLOGY > 2020 > 44(4): 459-465. > DOI: 10.7510/jgjs.issn.1001-3806.2020.04.011

LIANG Yulong, DUAN Fajie. Light bar centerline extraction method based on density clustering[J]. LASER TECHNOLOGY, 2020, 44(4): 459-465. DOI: 10.7510/jgjs.issn.1001-3806.2020.04.011

Citation:

LIANG Yulong, DUAN Fajie. Light bar centerline extraction method based on density clustering[J]. LASER TECHNOLOGY, 2020, 44(4): 459-465. DOI: 10.7510/jgjs.issn.1001-3806.2020.04.011

Citation:

LIANG Yulong, DUAN Fajie. Light bar centerline extraction method based on density clustering[J]. LASER TECHNOLOGY, 2020, 44(4): 459-465. DOI: 10.7510/jgjs.issn.1001-3806.2020.04.011

PDF (1514 KB)

Light bar centerline extraction method based on density clustering

LIANG Yulong,
DUAN Fajie^,

State Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, China

More Information

Received Date: August 14, 2019
Revised Date: September 08, 2019
Published Date: July 24, 2020

Graphical Abstract

Abstract

Abstract

In order to solve the influence of noise spot on extraction accuracy in the online structured light three-dimensional measurement, the center line of laser stripe was extracted by density clustering gray centroid extraction algorithm. The method consists of two stages: The pre-extraction of center line and the final extraction of center line. The pre-extraction stage realizes the simultaneous extraction of the center line of laser and spot. In the final extraction stage, the connectivity-based density clustering algorithm is used to preserve the laser centerline and eliminate the noise spot. In the simulation experiment stage, the image with the size of 600pixel×600pixel and the laser center line was denoised. The root mean square error and the running time of each point between the extracted result and the real center line were used as the inspection criteria. The results show that the root mean square error of high brightness anisotropic spot, high brightness small area spot, and high brightness point noise image was respectively reduced by 12.59pixel, 15.12pixel, and 83.36pixel, and the time complexity was respectively increased by 0.383s, 0.412s, and 0.416s. Compared with the traditional gray centroid method, this method has higher extraction accuracy, approximate time complexity, and better robustness to noise spot.
- image processing,
- center extraction,
- gray centroid method,
- density clustering,
- structured light

FullText(HTML)

References (21)

References

[1]	HAN Q.Three-dimensional measurement technology applied to stomatology[J].Journal of Oral Materials and Devices, 2003, 12(1):39-41(in Chinese). http://d.old.wanfangdata.com.cn/Periodical/kqyx201901011
[2]	QUAN Y M, LI Sh M, MAI Q Q. On-machine 3-D measurement of workpiece dimensions based on binocular vision[J].Optics and Precision Engineering, 2013, 21(4):1054-1061(in Chinese). DOI: 10.3788/OPE.20132104.1054
[3]	FU Y J, WENG L X, HU M.Research on key methods of 3-D measurement of large objects based on monocular structure light[J].Journal of Applied Optics, 2018, 39(2):212-219(in Chinese).
[4]	YANG J, JIA Sh H.A novel method of three dimensional profile measurement[J].Acta Photonica Sinica, 2007, 36(6):972-975(in Ch-inese). http://en.cnki.com.cn/Article_en/CJFDTOTAL-GZXB200706003.htm
[5]	YANG X J, CHI M H.An improved method of extracting structured light strip center[J].Applied Science and Technology, 2009, 36(12):41-44(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=yykj200912011
[6]	GAO Sh Y, YANG K Zh.Research on central position extraction of laser strip based on varied-boundary Gaussian fitting[J].Chinese Journal of Scientific Instrument, 2011, 32(5):1132-1137(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=yqyb201105028
[7]	STEGER C.An unbiased detector of curvilinear structures[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(2):113-125. DOI: 10.1109/34.659930
[8]	van ASSEN H C, EGMONT-PEYERSEN M, REIBER J H C.Accurate object localization in gray level images using the center of gravity measure: Accuracy versus precision[J].IEEE Transactions on Image Processing, 2002, 11(12):1379-1384. DOI: 10.1109/TIP.2002.806250
[9]	ZHANG X Y, WANG X Q, BAI F Zh, et al.Improved gray centroid method for extracting the center-line of light-stripe[J].Laser & Infrared, 2016, 46(5):622-626(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jgyhw201605023
[10]	ZHAO X S, ZHANG G X, ZHANG H W. Probe for measuring high reflective surface[J].Journal of Tianjin University, 2004, 37(3):274-277(in Chinese). http://en.cnki.com.cn/Article_en/CJFDTOTAL-TJDX200403019.htm
[11]	ZHANG H W, ZHANG G X, LI Zh, et al.Application of non-contact optical probe in measurement of high-reflective metallic surface[J].Journal of Tianjin University, 2004, 37(10):910-913(in Chinese). http://en.cnki.com.cn/Article_en/CJFDTOTAL-TJDX200410014.htm
[12]	ZHAO X S, ZHANG G X, LIU Zh, et al.The probe design of for high-reflection sculptured surface measurement[J].Chinese Journal of Scientific Instrument, 2004, 25(2):274-279(in Chinese). http://en.cnki.com.cn/Article_en/CJFDTotal-YQXB200402035.htm
[13]	ZHAO B H, WANG B X, ZHANG J, et al.Extraction of laser stripe center on rough metal surface[J].Optics and Precision Engineering, 2011, 19(9):2138-2145(in Chinese). DOI: 10.3788/OPE.20111909.2138
[14]	KOKKU R, BROOKSBY G.Improving 3-D surface measurement accuracy on metallic surfaces[J].Proceedings of the SPIE, 2005, 5856:618-624. DOI: 10.1117/12.612243
[15]	WANG W Ch, XU J Q, SI Sh Ch.A improved barycenter method used in light-trap center acquiring [J]. Journal of Optoelectronic·Laser, 2005, 16(10):1239-1242(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gdzjg200510024
[16]	SHI Sh L, YIN D Y.Improved real-time grayscale centroid algorithm[J].Opto-Electronic Engineering, 2013, 40(12):18-24(in Ch-inese). http://d.old.wanfangdata.com.cn/Periodical/gdgc201312004
[17]	HUANG L F, LIU G D, ZHANG Ch, et al.Laser stripe center extraction algorithm based on gray weight model[J].Laser Technology, 2020, 44(2):190-195(in Chinese). http://d.old.wanfangdata.com.cn/Periodical/jgjs202002009
[18]	TAO J, ZHANG X.Orientation algorithm of light-spot center subpixel in fiber sensing system[J].Computer Engineering, 2010, 36(19):31-33(in Chinese). http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSJC201019012.htm
[19]	ESTER M, KRIEGEL H P, XU X.A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise[C]//Proceedings of the 2nd International Conference on Knowledge Discovery & Data Mining.Portland, USA: AAAI Press, 1996: 226-231. https://www.aaai.org/Papers/KDD/1996/KDD96-037.pdf
[20]	PUN T.A new method for grey-level picture thresholding using the entropy of the histogram[J].Signal Processing, 1980, 2(3):223-237. DOI: 10.1016-S0734-189X(85)90156-2/
[21]	OTSU N.A Threshold selection method from gray-level histograms[J].IEEE Transactions on Systems, Man, and Cybernetics, 2007, 9(1):62-66. https://ieeexplore.ieee.org/document/4310076?arnumber=4310076

Cited By

Get Citation

PDF

XML

Article views (9) PDF downloads (7)

Turn off MathJax

Article Contents

Abstract

References

Light bar centerline extraction method based on density clustering

Abstract

References

Catalog

Links：

Light bar centerline extraction method based on density clustering

Abstract

References

Catalog

Links：

Export File

Citation

Format

Content