Laser & Optoelectronics Progress, Volume. 56, Issue 6, 061006(2019)

Lightweight Staff Removal Method Based on Multidimensional Local Binary Pattern and XGBoost

Tianlong Wu, Qiang Li, and Xin Guan*
Author Affiliations
  • School of Microelectronics, Tianjin University, Tianjin 300072, China
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    References(24)

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    [5] Bainbridge D, Bell T C. Dealing with superimposed objects in optical music recognition. [C]∥6th International Conference on Image Processing and its Applications. July 17,1997, Dublin, Ireland: IET Digital Library, 756-760(1997).

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    [11] Su B L, Lu S J, Pal U et al. An effective staff detection and removal technique for musical documents. [C]∥10th IAPR International Workshop on Document Analysis Systems, March 27,2012, Gold Cost, QLD, Australia. New York: IEEE, 160-164(2012).

    [12] Géraud T. A morphological method for music score staff removal. [C]∥IEEE International Conference on Image Processing (ICIP), Oct. 27, 2014, Paris, France. New York: IEEE, 2599-2603(2014).

    [14] Montagner I S. Hirata N S T, Hirata R. Staff removal using image operator learning[J]. Pattern Recognition, 63, 310-320(2017).

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    [23] Chen T, Guestrin C. XGBoost: a scalable tree boosting system. [C]∥Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Aug. 13, 2016, San Francisco, California, USA. New York: ACM, 785-794(2016).

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    Tianlong Wu, Qiang Li, Xin Guan. Lightweight Staff Removal Method Based on Multidimensional Local Binary Pattern and XGBoost[J]. Laser & Optoelectronics Progress, 2019, 56(6): 061006

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    Paper Information

    Category: Image Processing

    Received: Sep. 26, 2018

    Accepted: Oct. 25, 2018

    Published Online: Jul. 30, 2019

    The Author Email: Guan Xin (guanxin@tju.edu.cn)

    DOI:10.3788/LOP56.061006

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