Yang Pengcheng, Liu Yang, Zhu Xindong, Xu Guangshen, Xiao Yuan. Recognition method of speckle noise in interference fringe images based on object[J]. Journal of Applied Optics, 2017, 38(2): 221-226. DOI: 10.5768/JAO201738.0202003
Citation: Yang Pengcheng, Liu Yang, Zhu Xindong, Xu Guangshen, Xiao Yuan. Recognition method of speckle noise in interference fringe images based on object[J]. Journal of Applied Optics, 2017, 38(2): 221-226. DOI: 10.5768/JAO201738.0202003

Recognition method of speckle noise in interference fringe images based on object

More Information
  • Received Date: November 01, 2016
  • Revised Date: December 03, 2016
  • Speckle noise is a common phenomenon in laser interferometry, which covers shape information of corresponding area of measured surface, resulting in measurement error. Aiming at characteristics of speckle noise in oblique laser interferometry, a recognition method of speckle noise based on object image is proposed. In this method, upper and lower thresholds of speckle noise are calculated automatically by statistic characteristics of gray scale distribution in effective measurement area and background area in object image. Position of speckle noise in interference fringe image is obtained based on mapping relation between object image and interference fringe image. A correlation experiment is designed to repair speckle noise region identified in interference fringe image, and eliminate phase transition between adjacent pixel points in a fringe period of wrapped phase diagram.
  • [1]
    Fang Suping, Yang Pengcheng. Form deviation measurement of helical gear tooth flank using phase-shifting laser interferometry[J]. Lasers in Engineering, 2014, 29(1-2):9-22. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=0d1cb3d37726026d315213f6088c8a2a
    [2]
    Meng Lei, Fang Suping. Image-inpainting and quality-guided phase unwrapping algorithm[J]. Applied Optics, 2012, 51(13): 2457-2462. doi: 10.1364/AO.51.002457
    [3]
    Puvanathasan P, Bizheva K. Speckle noise reduction algorithm for optical coherence tomography based on interval type Ⅱ fuzzy set[J]. Optics Express, 2007, 15(24): 15747-15758. doi: 10.1364/OE.15.015747
    [4]
    Yu Yongjian, Acton S T. Speckle reducing anisotropic diffusion[J]. IEEE Transactions on Image Processing, 2002, 11(11): 1260-1270. doi: 10.1109/TIP.2002.804276
    [5]
    光学中的散斑现象: 理论与应用[M].曹其智, 陈家璧, 译.北京: 科技出版社, 2009.

    Goodman J W. Speckle phenomena inoptics: theory and applications[M].Cao Qizhi, Chen Jiabi, translated. Beijing: Science Press, 2009 Goodman J W.
    [6]
    Szkulmowski M, Gorczynska I, Szlag D, et al. Efficient reduction of speckle noise in optical coherence tomography[J]. Optics Express, 2012, 20(2): 1337-1359. doi: 10.1364/OE.20.001337
    [7]
    Yu N E, Choi J W, Kang H, et al. Speckle noise reduction on a laser projection display via a broadband green light source[J]. Optics Express, 2014, 22(3): 3547-3556. doi: 10.1364/OE.22.003547
    [8]
    Fang Suping, Wang Leijie. Object-image-based method to construct an unweighted quality map for phase extraction and phase unwrapping[J]. Applied Optics, 2011, 50(10): 1482-1487. doi: 10.1364/AO.50.001482
    [9]
    Fang Suping, Wang Leijie. Design of laser interferometric system for measurement of gear tooth flank[J]. Optik, 2011, 122(14): 1301-1304. doi: 10.1016/j.ijleo.2010.09.002
    [10]
    Esedoglu S, Shen J H. Digital inpainting based on the Mumford-Shah-Euler image model[J]. Eur. J. Appl. Math, 2002, 13(4):353-370. doi: 10.1017-S0956792502004904/
  • Related Articles

    [1]YU Guodong, WANG Chunyang, FENG Jianghai, LI Zhongqi, XU Pengyu, HAN Peng, LI Xinze, XU Feng. Optical distortion correction methods for infrared and visible light bombing ballistic theodolites in testing ranges[J]. Journal of Applied Optics, 2025, 46(1): 170-177. DOI: 10.5768/JAO202546.0105002
    [2]ZHU Han, LIN Li, WANG Jianhua, CHEN Jian. Multi-level detection method for PCB board defects based on improved template matching and image difference[J]. Journal of Applied Optics, 2020, 41(4): 837-843. DOI: 10.5768/JAO202041.0409806
    [3]HE Fuqiang, LUO Hong, YAO Xuelian, PING An. Self-adaptive bridge bare rebar detection algorithm based on local image segmentation and multi-feature filtering[J]. Journal of Applied Optics, 2020, 41(3): 508-515. DOI: 10.5768/JAO202041.0302004
    [4]CHANG Qing, ZHAO Shuangming. Light field refocusing analysis of different interpolation algorithms[J]. Journal of Applied Optics, 2020, 41(3): 482-489. DOI: 10.5768/JAO202041.0302001
    [5]ZHANG Yunqiang, CHANG Jun, PAN Guoqing. Analysis of influence factors on aberrations introduced by quadric conformal domes[J]. Journal of Applied Optics, 2019, 40(6): 965-972. DOI: 10.5768/JAO201940.0601006
    [6]Li Yuchen, Han Sen, Wu Quanying, Tang Shouhong, Li Xueyuan, Wang Quanzhao. Absolute test of flats based on even or odd functions[J]. Journal of Applied Optics, 2017, 38(3): 469-475. DOI: 10.5768/JAO201738.0303007
    [7]TIAN Jun-wei, SHANG Ya-ceng, WANG Hong-xi, CHENG Gang. Boundary tracking algorithm based on direction estimation[J]. Journal of Applied Optics, 2011, 32(3): 441-445.
    [8]YAN Zong-qun, LI Gang, ZHANG Chu, HOU Yong-jia. Real-time multi-target infrared image processing system based on double TMS320DM642 processors[J]. Journal of Applied Optics, 2010, 31(4): 562-566.
    [9]HUANG Bo, DAI Cai-hong, YU Jia-lin. Data interpolating and curve fitting for standard lamps of spectral irradiance[J]. Journal of Applied Optics, 2009, 30(1): 44-49.
    [10]SU Cheng-yue, ZHENG Guang-zhao, CHEN Li, HE Rong-li, ZHOU Dong-yue. Realization of Region Splitting of Multi-gray Level Picture with Optical Method[J]. Journal of Applied Optics, 2005, 26(4): 9-12.

Catalog

    Article views (1274) PDF downloads (107) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return