Laser & Optoelectronics Progress, Volume. 60, Issue 22, 2212004(2023)

Detection Technology of Pineapple Thorn Based on Feature Extraction and Space Position

Ying Li, Hao Yuan*, Kaibin Wang, Zifen He, and Yao Dong
Author Affiliations
  • Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan , China
  • show less
    References(28)

    [1] Deng C M, Li Y P, Liang W H et al. Present situation and countermeasures of pineapple industry in China[J]. Journal of Shanxi Agricultural Sciences, 46, 1031-1034(2018).

    [2] Du Z L, Liu E P, Liu H Q et al. Current situation, issues and countermeasure of pineapple industry in Hainan[J]. Tropical Agricultural Engineering, 39, 33-39(2015).

    [3] Zhang Y M, Zeng J S, Zhao Z P et al. Principal component analysis of main quantitative characters in pineapple germplasm[J]. Tropical Agricultural Science & Technology, 39(2016).

    [4] Zhang Y, Zhu G Y, Shi T J et al. Small object detection in remote sensing images based on feature fusion and attention[J]. Acta Optica Sinica, 42, 2415001(2022).

    [5] Qin L. PCB image defect detection based on image processing and deep learning[D](2021).

    [6] Feng B. Research on system architecture and light source optimization strategy for paper defect diagnosis system based on machine vision[D](2021).

    [7] Wang Z. Driving fatigue detection based on deep learning and information fusion[D](2021).

    [8] Zhao L. Research and application of defect detection method based on image processing chip fixed resistor[D](2013).

    [9] Zhang L, Chen Q, Zuo C et al. Real-time high dynamic range 3D measurement using fringe projection[J]. Optics Express, 28, 24363-24378(2020).

    [10] Chen L, Wang W C, Zhang F F et al. Zonal projection based on binocular structured light for localized luminance saturation of intraoperative liver surface[J]. Optics and Precision Engineering, 29, 2590-2602(2021).

    [11] Nayar S K, Nakagawa Y. Shape from focus[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16, 824-831(1994).

    [12] Xiong Y, Shafer S A. Depth from focusing and defocusing[C], 68-73(2002).

    [13] Darell T, Wohn K. Depth from focus using a pyramid architecture[J]. Pattern Recognition Letters, 11, 787-796(1990).

    [14] Ruel S, Luu T, Anctil M et al. Target localization from 3D data for on-orbit autonomous rendezvous & docking[C](2008).

    [15] Li X D, Cui L, Zhao H J et al. Three-dimensional shape measurement system based on dual oscillating mirrors with point scanning[J]. Optics and Precision Engineering, 18, 1648-1653(2010).

    [16] Nayar S K, Nakagawa Y. Shape from focus[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16, 824-831(1994).

    [17] Zhou Y, Meng X Q, Jiang D B et al. Centerline extraction of structured light stripe under complex interference[J]. Chinese Journal of Lasers, 47, 1204004(2020).

    [18] Li S X, Wang Z. Azimuth and origin correction method for improving radar measurement accuracy[J]. Acta Optica Sinica, 42, 0412001(2022).

    [19] Yun J, Choi T S. Fast shape from focus using dynamic programming[J]. Proceedings of SPIE, 3958, 71-79(2000).

    [20] Westoby M J, Brasington J, Glasser N F et al. 'Structure-from-Motion': a high resolution, low-cost photogrammetric tool for geoscience applications[J]. Geomorphology, 179, 300-314(2011).

    [21] Xu D F, Anguelov D, Jain A. PointFusion: deep sensor fusion for 3D bounding box estimation[C], 244-253(2018).

    [22] Zhao X, Liu Z, Hu R L et al. 3D object detection using scale invariant and feature reweighting networks[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 33, 9267-9274(2019).

    [23] Li S, Du Y H. Boundary extraction of scattered point cloud with normal estimation based on improved 3RDP algorithm[J]. Laser & Optoelectronics Progress, 58, 1610016(2021).

    [24] Beltrán J, Guindel C, Moreno F M et al. BirdNet: a 3D object detection framework from LiDAR information[C], 3517-3523(2018).

    [25] Qi C R, Litany O, He K M et al. Deep Hough voting for 3D object detection in point clouds[C], 9276-9285(2020).

    [27] Wang X M, Sun J J, San H L. Application of cylindrical expansion for surface defect detection of condoms[J]. Journal of Shenyang University of Technology, 44, 79-83(2022).

    [28] Hai C, Zhao F X, Sun S. Research on online detection for jujube surface defects based on blob analysis[J]. Food & Machinery, 34, 126-129(2018).

    Tools

    Get Citation

    Copy Citation Text

    Ying Li, Hao Yuan, Kaibin Wang, Zifen He, Yao Dong. Detection Technology of Pineapple Thorn Based on Feature Extraction and Space Position[J]. Laser & Optoelectronics Progress, 2023, 60(22): 2212004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: May. 12, 2023

    Accepted: Jun. 5, 2023

    Published Online: Nov. 6, 2023

    The Author Email: Hao Yuan (1204716405@qq.com)

    DOI:10.3788/LOP231299

    Topics