• Laser & Optoelectronics Progress
  • Vol. 57, Issue 10, 101002 (2020)
Qingqing Wang and Ping Chen*
Author Affiliations
  • Shanxi Key Laboratory of Information Detection and Processing, College of Information and Communication Engineering, North University of China, Taiyuan, Shanxi 030051, China
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    DOI: 10.3788/LOP57.101002 Cite this Article Set citation alerts
    Qingqing Wang, Ping Chen. Reconstruction Method for Inner Wall Morphology of Cylindrical Workpiece Based on Multi-Focus Image Sequence Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101002 Copy Citation Text show less
    References

    [1] Tan Z, Wang Y, Li J Y et al. Measurement and evaluation of aero-engine drum tube components cavity size[J]. Aviation Precision Manufacturing Technology, 44, 58-61(2008).

    [2] Koch C, Georgieva K, Kasireddy V et al. A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure[J]. Advanced Engineering Informatics, 29, 196-210(2015).

    [3] Lin H Q, Lan C D. Research on panoramic stitching algorithm based on multi-camera system calibration[J]. Information & Communications, 31, 37-40(2018).

    [4] Wang H F, Liu S Q, Wang D B et al. Panoramic image mosaic method for rotary scanning serial image[J]. Acta Optica Sinica, 29, 1211-1215(2009).

    [5] Di X, Zhang Y, Yang J H et al. A research based on fisheye lens of a drilling wall imaging system. [C]∥2012 International Conference on Computer Science and Service System, August 11-13, 2012, Nanjing, China. New York: IEEE, 1877-1879(2012).

    [6] Wu T, Lu S H, Han W M et al. In-pipe internal defect inspection method based on active stereo omni-directional vision sensor[J]. Chinese Journal of Scientific Instrument, 36, 2258-2264(2015).

    [7] Wang H H. Multisensor image fusion by using discrete multiwavelet transform. [C]∥Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), August 26-29, 2004, Shanghai, China. New York: IEEE, 4331-4336(2004).

    [8] Lewis J J. O'Callaghan R J, Nikolov S G, et al. Pixel- and region-based image fusion with complex wavelets[J]. Information Fusion, 8, 119-130(2007).

    [9] Liu Y, Liu S P, Wang Z F. Multi-focus image fusion with dense SIFT[J]. Information Fusion, 23, 139-155(2015).

    [10] Yang B, Li S T. Multifocus image fusion and restoration with sparse representation[J]. IEEE Transactions on Instrumentation and Measurement, 59, 884-892(2010).

    [11] Aslantas V, Kurban R. Fusion of multi-focus images using differential evolution algorithm[J]. Expert Systems With Applications, 37, 8861-8870(2010).

    [12] Bai X Z, Zhang Y, Zhou F G et al. Quadtree-based multi-focus image fusion using a weighted focus-measure[J]. Information Fusion, 22, 105-118(2015).

    [13] Li S T, Yang B. Multifocus image fusion using region segmentation and spatial frequency[J]. Image and Vision Computing, 26, 971-979(2008).

    [14] Wang D C, Chen X N, Zhao F et al. Vehicle detection algorithm based on convolutional neural network and RGB-D images[J]. Laser & Optoelectronics Progress, 56, 181003(2019).

    [15] Feng Y, Yi B S, Wu C Y et al. Pulmonary nodule recognition based on three-dimensional convolution neural network[J]. Acta Optica Sinica, 39, 0615006(2019).

    [16] Liu Y, Chen X, Peng H et al. Multi-focus image fusion with a deep convolutional neural network[J]. Information Fusion, 36, 191-207(2017).

    [17] Qiu Z L, Zha Y F, Zhu P et al. Visual tracking algorithm based on online feature discrimination with Siamese network[J]. Acta Optica Sinica, 39, 0915003(2019).

    [18] Melekhov I, Kannala J, Rahtu E. Siamese network features for image matching. [C]∥2016 23rd International Conference on Pattern Recognition (ICPR), December 4-8, 2016, Cancun. New York: IEEE, 378-383(2016).

    [19] Zhang Y P, Yue X F, Zheng C Y et al[J]. The accurate measurement on the small objects on the inside wall of a cylinder based on the technology of machine vision Mechanical Engineer, 2009, 27-30.

    Qingqing Wang, Ping Chen. Reconstruction Method for Inner Wall Morphology of Cylindrical Workpiece Based on Multi-Focus Image Sequence Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101002
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