A fast method of extracting the laser light bar's centerline in the ice model

Kang Hanyu; Liu Guihua; Wang Bin; Niu Qian

doi:10.11729/syltlx20170058

Volume 31 Issue 5

Turn off MathJax

Article Contents

Abstract

References

Journal of Experiments in Fluid Mechanics > 2017 > 31(5): 81-87. > DOI: 10.11729/syltlx20170058

Kang Hanyu, Liu Guihua, Wang Bin, Niu Qian. A fast method of extracting the laser light bar's centerline in the ice model[J]. Journal of Experiments in Fluid Mechanics, 2017, 31(5): 81-87. DOI: 10.11729/syltlx20170058

Citation:

PDF (5600 KB)

A fast method of extracting the laser light bar's centerline in the ice model

Kang Hanyu^1, ,,
Liu Guihua¹,
Wang Bin^{2, 3},
Niu Qian¹

1.
School of Information Engineering, University of Southwest Science and Technology, Mianyang Sichuan 621000, China
2.
Facility Design and Instrumentation Institute, China Aerodynamics Research and Development Center, Mianyang Sichuan 621000, China
3.
State Key Loboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang Sichuan 621000, China

More Information

Received Date: May 09, 2017
Revised Date: July 16, 2017

Graphical Abstract

Abstract

Abstract

The laser centerline extraction is an important step in the measurement of the ice cross sectional profile, and the extraction accuracy directly affects the accuracy of the measurement system. Especially the ice on the structural light transmission is serious, the center line extraction algorithm is put forward a higher requirement. A fast centerline extraction method based on frequency domain transform is proposed to extract the center line in the three-dimensional measurement of ice. First, the image is subjected to noise reduction based on the technique of Block-matching and 3D filtering. Second, in order to reduce the computational complexity, the visual significance of the image is calculated by using the quaternion Fourier transform of phase spectrum, and then extract the optical band's region. Third, obtain the gradient map and convert to the frequency domain space, according to the image spectrum characteristics, we can obtain the center line position. The experimental results show that the algorithm is 28.57FPS, and the accuracy of ice contour reconstruction is 0.017mm.
- icing model,
- image processing,
- significant figure,
- centerline extraction,
- frequency domain transform

FullText(HTML)

References (17)

References

[1]	Lynch F T, Khodadoust A. Effects of ice accretions on aircraft aerodynamics[J]. Progress in Aerospace Sciences, 2001, 37(8):669-767. DOI: 10.1016/S0376-0421(01)00018-5
[2]	巫瑞锐. 结冰力学特性的理论与实验研究[D]. 南京: 南京航空航天大学, 2014. Wu R R. Research on theories and experiments of mechanical properties of impact ice[D]. Nanjing:Nanjing University of Aeronautics and Astronautics, 2014.
[3]	范洁川, 于涛.飞机结冰风洞试验模拟研究[J].实验流体力学, 2007, 21(1):1-7. http://www.syltlx.com/CN/abstract/abstract9525.shtml Fan J C, Yu T. A study of simulation for airplane icing tests in icing wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2007, 21(1):1-7. http://www.syltlx.com/CN/abstract/abstract9525.shtml
[4]	易贤. 飞机积冰的数值计算与积冰试验相似准则研究[D]. 绵阳: 中国空气动力研究与发展中心, 2007. Yi X. Numerical computation of aircraft icing and study on icing test scaling law[D]. Mianyang:China Aerodynamics Research and Development Center, 2007.
[5]	Gong X L, Bansmer S. 3-D ice shape measurements using mid-infrared laser scanning[J]. Optics Express, 2015, 23(4):4908-4926. DOI: 10.1364/OE.23.004908
[6]	王斌, 刘桂华, 张利萍, 等.基于线结构光的冰横截面轮廓测量[J].实验流体力学, 2016, 30(3):14-20. http://www.syltlx.com/CN/abstract/abstract10928.shtml Wang B, Liu G H, Zhang L P, et al. Ice cross sectional profi-le measurement based on line structured light[J]. Journal of Experiments in Fluid Mechanics, 2016, 30(3):14-20. http://www.syltlx.com/CN/abstract/abstract10928.shtml
[7]	Tsai R Y. An efficient and accurate camera calibration technique for 3D machine vision[C]//Proceeding of IEEE Conference on Computer Vision & Pattern Recognition, 1986:364-374.
[8]	Zhang Z. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11):1330-1334. DOI: 10.1109/34.888718
[9]	Zhou F, Zhang G. Complete calibration of a structured light vision sensor through planar target of unknown otientations[J]. Image and Vision Computing, 2005, 23(1):59-67. DOI: 10.1016/j.imavis.2004.07.006
[10]	Saeed K, Dzki M, Rybnik M, et al. A universal algorithm for image skeletonization and a review of thinning thchniques[J]. International Journal of Applied Mathmatics & Computer Science, 2010, 20(2):317-335. https://www.degruyter.com/view/j/amcs.2010.20.issue-2/v10006-010-0024-4/v10006-010-0024-4.xml
[11]	苏小勤, 熊显名.快速线结构光中心线提取算法[J].计算机应用, 2016, 36(1):238-242. DOI: 10.11772/j.issn.1001-9081.2016.01.0238 Su X Q, Xiong X M. High-speed method for extracting center of line structured light[J]. Journal of Computer Applications, 2016, 36(1):238-242. DOI: 10.11772/j.issn.1001-9081.2016.01.0238
[12]	吴家勇.基于梯度重心法的线结构光中心亚像素提取方法[J].中国图像图形学报, 2009, 14(7):1354-1360. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGTB200907022.htm Wu J Y. Method of linear structured light sub-pixel center position extracting[J]. Journal of Image and Graphics, 2009, 14(7):1354-1360. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGTB200907022.htm
[13]	Steger C. Extracting curvilinear structures:a differential geometric approach[J]. Computer Vision-ECCV'96 Lecture Notes in Computer Science, 1996, 1064:630-641. DOI: 10.1007/BFb0015518
[14]	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
[15]	Dabov K, Foi A, Egiazarian K. Image denoising with block-matching and 3D filtering[J]. The International Society for Optical Engineering, 2006, 6064:354-365. http://www.cs.tut.fi/~foi/3D-DFT/
[16]	汪成. 图像显著区域检测算法研究[D]. 南京: 南京信息工程大学, 2016. http://cdmd.cnki.com.cn/Article/CDMD-10300-1016197870.htm Wang C. Research of saliency region detection of images[D]. Nanjing:Nanjing University of Information Science & Technology, 2016. http://cdmd.cnki.com.cn/Article/CDMD-10300-1016197870.htm
[17]	Itti L, Koch C, Niebur E. A model of saliency based visual attention for rapid scene analysis[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 1998, 20(11):1254-1259. http://ieeexplore.ieee.org/abstract/document/730558/

[1]	ZHANG Hongjian, ZHANG Yanxin, XIONG Jianjun, ZHAO Zhao, RAN Lin, YI Xian. Numerical simulation and experimental research of Lamb wave propagation characteristics in ice[J]. Journal of Experiments in Fluid Mechanics, 2023, 37(2): 68-77. DOI: 10.11729/syltlx20210170
[2]	DU Baihe, ZHANG Songhe, GE Qiang, WANG Maogang. Study on flow field characteristics of inert gas-air hybrid arc[J]. Journal of Experiments in Fluid Mechanics, 2022, 36(5): 69-75. DOI: 10.11729/syltlx20210052
[3]	XIE Aimin, XING Yanchang, WANG Min, BU Shaoqing. 1.2 m large-field focusing schlieren technique[J]. Journal of Experiments in Fluid Mechanics. DOI: 10.11729/syltlx20220047
[4]	GUO Xiangdong, ZHANG Pingtao, ZHANG Ke, GUO Qiling, GUO Long. Improvement and evaluation of thermal flow-field quality in CARDC icing wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2021, 35(4): 41-51. DOI: 10.11729/syltlx20200118
[5]	Xu Kejing, Chang Juntao, Li Nan, Bao Wen, Yu Daren. Recent research progress on motion characteristics and flow mechanism of shock train in an isolator with background waves[J]. Journal of Experiments in Fluid Mechanics, 2019, 33(3): 31-42. DOI: 10.11729/syltlx20180196
[6]	Xie Aimin, Bu Shaoqing, Luo Jinyang. Primary study of large-field focusing schlieren technique based on tiled light sources[J]. Journal of Experiments in Fluid Mechanics, 2018, 32(6): 68-73. DOI: 10.11729/syltlx20180012
[7]	Sha Xinguo, Wen Shuai, Yuan Minglun, Lu Hongbo, Ji Feng. Visualization of shock wave in hypersonic flow using electric discharge[J]. Journal of Experiments in Fluid Mechanics, 2018, 32(3): 87-93. DOI: 10.11729/syltlx20170106
[8]	Chen Fei, Sun Bin. The study of dynamic differential pressure signal of gas-liquid two-phase flow based on adaptive Chirplet transformation[J]. Journal of Experiments in Fluid Mechanics, 2015, (6): 59-66. DOI: 10.11729/syltlx20140113
[9]	JIA Xiao-na, CHEN Xu, LI Wei-hua, ZUO Bing-guang. The application of synthetic schlieren technique in the experimental study of internal wave[J]. Journal of Experiments in Fluid Mechanics, 2013, 27(4): 92-96. DOI: 10.3969/j.issn.1672-9897.2013.04.017
[10]	ZHU Zi-hua, HU Shi-jun, HU Da-peng, LIU Xue-wu. Experimental study and simulation of swirling jet gas wave refrigerator[J]. Journal of Experiments in Fluid Mechanics, 2007, 21(3): 35-37,65. DOI: 10.3969/j.issn.1672-9897.2007.03.007

Cited By

Cited by

Periodical cited type(3)

1.	王一平，徐司雨，姚二岗，李恒，张洋，于瑾，赵凤起. 先进光学诊断技术在含能材料燃烧测试中的应用进展. 火炸药学报. 2024(01): 1-16 .
2.	吴凌昊，石小江，李杨，雷庆春，范玮. 超燃冲压发动机燃烧室光学测量技术发展现状. 计测技术. 2024(03): 57-71 .
3.	袁勋，于欣，彭江波，曾徽，欧东斌. 电弧风洞NO平面激光诱导荧光可视化方法与试验验证. 航空学报. 2023(19): 73-82 .

Other cited types(1)

Get Citation

PDF

XML

Article Metrics

Article views (278) PDF downloads (10) Cited by(4)

A fast method of extracting the laser light bar's centerline in the ice model

Abstract

References

Related Articles

Cited by

Periodical cited type(3)

Other cited types(1)

Catalog

Article Metrics

Related

A fast method of extracting the laser light bar's centerline in the ice model

Abstract

References

Related Articles

Cited by

Periodical cited type(3)

Other cited types(1)

Catalog

Article Metrics

Related

Export File

Citation

Format

Content