基于Otsu和FMM方法的风洞试验图像修复

doi:10.7527/S1000-6893.2019.23293

Abstract

Abstract: Many kinds of optics test technologies have been applied broadly in wind tunnel test, but the breakages and irrelevant information of images could affect data processing and analysis. Taking schlierern images with defects as an example, the image inpainting technology is studied. According to the characteristics of the image defects such as discrete, variable in shape and size, low gray levels of core regions and large gray gradients on the edges of defects, the image inpainting workflow is divided into pending regions determination, defects identification, and defects inpainting. The Otsu method is used to segment images in Step 1 and Step 2, and the Fast Marching Method (FMM) is applied to inpaint the defects in Step 3. After image inpainting, the defects of schlieren images are automatically identified and reduced or weakened, and the inpainting information is objective and reasonable. This image inpainting method could be extended to other optics test technologies in wind tunnel test.

Key words: image inpainting, Otsu method, fast marching method, schlieren, optics, wind tunnel test

CLC Number:

JIANG Tao, LI Qiang, CHEN Suyu, CHANG Yu, ZHANG Kouli. Image inpainting of wind tunnel test based on Otsu method and FMM[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(2): 123293-123293.

References 27

[1]	杨祖清. 流动显示技术[M]. 北京:国防工业出版社, 2002:93-276. YANG Z Q. Flow visualization[M]. Beijing:National Defense Industry Press, 2002:93-276(in Chinese).
[2]	李桂春. 气动光学[M]. 北京:国防工业出版社, 2002:347-489. LI G C. Aero-optics[M]. Beijing:National Defense Industry Press, 2002:347-489(in Chinese).
[3]	李强, 江涛, 陈苏宇, 等. 激波风洞边界层转捩测量技术及应用[J]. 航空学报, 2019, 40(8):122740. LI Q, JIANG T, CHEN S Y, et al. Measurement technology and measuring of boundary layer transition in shock tunnel[J]. Acta Aeronautica et Astronautica Sinica, 2019, 40(8):122740(in Chinese).
[4]	战培国, 曾慧, 钟萍, 等. 2017年国外风洞试验发展动态综述[J]. 飞航导弹, 2018(8):16-48. ZHAN P G, ZENG H, ZHONG P, et al. Review of the development of foreign wind tunnel tests in 2017[J]. Aerodynamic Missile Journal, 2018(8):16-48(in Chinese).
[5]	GABRIELE B, GUILLAUME G, TAMAS R, et al. Optical characterization of boundary layer transition[C]//17th International Symposium on Applications of Laser Techniques to Fluid Mechanics, 2014.
[6]	张扣立, 周嘉穗, 孔荣宗, 等. CARDC激波风洞TSP技术研究进展[J]. 空气动力学学报, 2016, 34(6):738-743. ZHANG K L, ZHOU J S, KONG R Z, et al. Development of TSP technique in shock tunnel of CARDC[J]. Acta Aerodynamica Sinica, 2016, 34(6):738-743(in Chinese).
[7]	韩曙光, 贾广森, 文帅, 等. 磷光热图技术在常规高超声速风洞热环境实验中的应用[J]. 气体物理, 2017, 2(4):56-63. HAN S G, JIA G S, WEN S, et al. Heat transfer measurement using a quantitative phosphor thermography system in blowdown hypersonic facility[J]. Physics of Gases, 2017, 2(4):56-63(in Chinese).
[8]	刘祥. 双组份压敏漆试验技术测量不确定度研究[D]. 绵阳:中国空气动力研究与发展中心, 2016. LIU X. Investigation of pressure uncertainty for two-component pressure sensitive paint[D]. Mianyang:China Aerodynamics Research and Development Center, 2016(in Chinese).
[9]	BERTALMIO M,SAPIRO G, CASELLES V, et al. Image inpainting[C]//Proceedings SIGGRAPH 2000, Computer Graphics Proceedings, Annual Conference Series, 2000:417-424.
[10]	GUILLEMOT C, LE MEUR O. Image inpainting:Overview and recent advances[J]. IEEE Signal Processing Magazine, 2014, 31(1):127-144.
[11]	张红英. 数字图像修复技术的研究与应用[D]. 成都:电子科技大学, 2006:1-32. ZHANG H Y. Research and application digital image inpainting[D]. Chengdu:University of Electronic and Technology of China, 2006:1-32(in Chinese).
[12]	张丽莹. 数字图像修复算法研究[D]. 天津:天津大学, 2015:1-18. ZHANG L Y. The study of digital image completion algorithms[D]. Tianjin:Tianjin University, 2015:1-18(in Chinese).
[13]	SHIH T K, CHANG R C, LU L C, et al. Multi-layer inpainting on Chinese artwork restoration applications[C]//IEEE International Conference on Multimedia and Expo. Piscataway, NJ:IEEE Press, 2004.
[14]	焦莉娟, 王文剑, 李秉婧, 等. 改进的块匹配五台山壁画修复算法[J]. 计算机辅助设计与图形学学报, 2019, 31(1):118-125. JIAO L J, WANG W J, LI B J, et al. Wutai Mountain mural inpainting based on improved block matching algorithm[J]. Journal of Computer-Aided Design & Computer Graphics, 2019, 31(1):118-125(in Chinese).
[15]	罗希平, 田捷, 诸葛婴, 等. 图像分割方法综述[J]. 模式识别与人工智能, 1999, 12(3):300-312. LUO X P, TIAN J, ZHUGE Y, et al. A survey on image segmentation techniques[J]. Pattern Recognition and Artificial Intelligence, 1999, 12(3):300-312(in Chinese).
[16]	林开颜, 吴军辉, 徐立鸿. 彩色图像分割方法综述[J]. 中国图象图形学报, 2005, 10(1):1-10. LIN K Y, WU J H, XU L H. A survey on color image segmentation techniques[J]. Journal of Image and Graphics, 2005, 10(1):1-10(in Chinese).
[17]	韩思奇, 王蕾. 图像分割的阈值法综述[J]. 系统工程与电子技术, 2002, 24(6):91-94. HAN S Q, WANG L. A survey of thresholding methods for image segmentation[J]. Systems Engineering and Electronics, 2002, 24(6):91-94(in Chinese).
[18]	SEZGIN M, SANKUR B. Survey over image thresholding techniques and quantitative performance evaluation[J]. Journal of Electronic Imaging, 2004, 13(1):146-165.
[19]	NOBUYUKI O. A threshold selection method from gray-level histogram[J]. IEEE Transactions on Systems, Man and Cybernetics, 1979, 9(1):62-66.
[20]	付忠良. 图像阈值选取方法——Otsu方法的推广[J]. 计算机应用, 2000, 20(5):37-39. FU Z L. Methods of selecting image threshold-Extension of Otsu method[J]. Computer Applications, 2000, 20(5):37-39(in Chinese).
[21]	刘艳, 赵英良. Otsu多阈值快速求解算法[J]. 计算机应用, 2011, 31(12):3363-3365. LIU Y, ZHAO Y L. Quick approach of multi-threshold Otsu method for image segmentation[J]. Journal of Computer Applications, 2011, 31(12):3363-3365(in Chinese).
[22]	申铉京, 刘翔, 陈海鹏. 基于多阈值Otsu准则的阈值分割快速计算[J]. 电子与信息学报, 2017, 39(1):144-149. SHEN X J, LIU X, CHEN H P. Fast computation of threshold based on multi-threshold Otsu criterion[J]. Journal of Electronics & Information Technology, 2017, 39(1):144-149(in Chinese).
[23]	周迪, 夏哲雷. 一种改进的Otsu阈值分割算法[J]. 中国计量大学学报, 2016, 23(1):319-323. ZHOU D, XIA Z L. An improved Otsu threshold segmentation algorithm[J]. Journal of China University of Metrology, 2016, 23(1):319-323(in Chinese).
[24]	李开宇, 孙玉刚. 引入连续性强度和置信度因子的快速图像修复[J]. 中国图象图形学报, 2012, 17(4):465-470. LI K Y, SUN Y G. Fast image inpainting algorithm introducing continuous strength and confidence factor[J]. Journal of Image and Graphics, 2012, 17(4):465-470(in Chinese).
[25]	闵溪青, 黄杰. 简化的快速图像修复方法[J]. 计算机应用, 2017, 37(S1):169-172. MIN X Q, HUANG J. Simplified fast image inpainting method[J]. Journal of Computer Applications, 2017, 37(S1):169-172(in Chinese).
[26]	SETHIAN J A. A fast marching level set method for monotonically advancing fronts[J]. National Academy of Sciences, 1996, 93(4):1591-1595.
[27]	TELEA A. An image technique based on the fast matching method[J]. Journals of Graphics Tools, 2004, 9(1):23-34.

Image inpainting of wind tunnel test based on Otsu method and FMM

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References 27

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	Fuchang ZUO, Zhiwu MEI, Loulou DENG, Hao ZHOU, Xiaomin BEI, Yueming LI. Focusing optics for intensity-correlated measurement of pulsar angular position [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(3): 527124-527124.
[2]	Liansheng LI, Zhiwu MEI, Jun XIE, Kun JIANG, Yongqiang SHI, Zhen CAO, Fuchang ZUO. A review of applications of X⁃ray focused optics in field of pulsar detection [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(3): 528286-528286.
[3]	Zhongchen LIU, Zhansen QIAN, Xuefei LI, Yan LENG, Dapeng GUO. Wind tunnel test techniques for exhaust nozzle plume effects on near-field sonic boom [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(2): 626952-626952.
[4]	Shanjie XU, Hongqiang LYU, Zhongchen LIU, Yan LENG, Xuejun LIU. Data analysis of sonic boom test based on probability model [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(2): 626269-626269.
[5]	Jun SHU, Dongguang XU, Zhirong HAN, Si LI, Xiong HUANG. Hybrid wing design of icing wind tunnel supercooled large droplet icing test [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(1): 627182-627182.
[6]	LIU Chuanzhen, MENG Xufei, LIU Rongjian, BAI Peng. Experimental and numerical investigation of hypersonic performance of double swept waverider [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(9): 126015-126015.
[7]	LIU Jun, LUO Xinfu, WANG Xiansheng. Experiment on influence of leading-edge shape on aerodynamic characteristics of cavity model [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(7): 125235-125235.
[8]	ZHANG Zhenkai, JIA Sijia, SONG Chen, YANG Chao. Optimum design of wind tunnel test model for compliant morphing trailing edge [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(3): 226071-226071.
[9]	HOU Yingyu, LI Qi, JI Chen, LIU Ziqiang. Experimental design of aeroelastic load with supersonic low frequency and large buffeting [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(3): 626454-626454.
[10]	ZENG Kaichun, KOU Xiping, YANG Xinghua, YU Li, ZHA Jun. Optimization of active vibration damping structure for transonic wind tunnel test model [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(2): 224944-224944.
[11]	YI Bingli, LIU Boyu, WANG Zhengqu, ZHANG Tiejun, LU Dan, ZHAO Yan. Test technology of twin-sting supports in 1.2 m high speed wind tunnel [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(11): 526794-526794.
[12]	YANG Zhao, LI Jie, NIU Xiaotian. Analysis and correction of Reynolds number effect of a flight verification platform with laminar wing section [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(11): 527287-527287.
[13]	GENG Yansheng, AI Mengqi, WANG Wei, GENG Jianzhong, ZHAO Yan. Efficient design and experimental verification of laminar airfoil [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(11): 526798-526798.
[14]	ZHAO Yan, DUAN Zhuoyi, DING Xingzhi, YANG Tihao, WANG Meng. Optimization design of hybrid laminar flow control wing for flight test [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(11): 527539-527539.
[15]	DENG Yiju, DUAN Zhuoyi, AI Mengqi. Status and development of laminar flow wing design technology [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(11): 526778-526778.