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31.
  • Recognition of Geometric Fi... Recognition of Geometric Figures and Determination of Their Characteristics by Means of Computer Vision
    Golovin, Oleksandr Kìbernetika ta komp'ûternì tehnologìï (Online), 6/2022 1
    Journal Article
    Peer reviewed
    Open access

    Introduction. Many computer vision applications often use procedures for recognizing various shapes and estimating their dimensional characteristics. The entire pipeline of such processing consists ...
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32.
  • Robust regression for image... Robust regression for image binarization under heavy noise and nonuniform background
    Vo, Garret D.; Park, Chiwoo Pattern recognition, September 2018, 2018-09-00, Volume: 81
    Journal Article
    Peer reviewed
    Open access

    •This paper advances the background subtraction approach for image binarization.•Our approach formulates a robust regression to estimate an image background.•The proposed approach does not require ...
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33.
  • Broken and degraded documen... Broken and degraded document images binarization
    Chen, Yiping; Wang, Liansheng Neurocomputing (Amsterdam), 05/2017, Volume: 237
    Journal Article
    Peer reviewed

    Document image binarization refers to the conversion of a document image into a binary image. For broken and severely degraded document images, binarization is a very challenging process. Unlike the ...
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34.
  • A comprehensive review of B... A comprehensive review of Binary Neural Network
    Yuan, Chunyu; Agaian, Sos S. The Artificial intelligence review, 11/2023, Volume: 56, Issue: 11
    Journal Article
    Peer reviewed
    Open access

    Deep learning (DL) has recently changed the development of intelligent systems and is widely adopted in many real-life applications. Despite their various benefits and potentials, there is a high ...
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35.
  • Low‐intensity, long‐wavelen... Low‐intensity, long‐wavelength red light slows the progression of myopia in children: an Eastern China‐based cohort
    Zhou, Lei; Xing, Chao; Qiang, Wei ... Ophthalmic & physiological optics, March 2022, 2022-03-00, 20220301, Volume: 42, Issue: 2
    Journal Article
    Peer reviewed
    Open access

    Purpose To determine the effect of low‐intensity, long‐wavelength red light therapy (LLRT) on the inhibition of myopia progression in children. Methods A retrospective study was conducted. One ...
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36.
  • LDAHash: Improved Matching ... LDAHash: Improved Matching with Smaller Descriptors
    Strecha, C.; Bronstein, A. M.; Bronstein, M. M. ... IEEE transactions on pattern analysis and machine intelligence, 2012-Jan., 2012, 2012-Jan, 2012-01-00, 20120101, Volume: 34, Issue: 1
    Journal Article
    Peer reviewed
    Open access

    SIFT-like local feature descriptors are ubiquitously employed in computer vision applications such as content-based retrieval, video analysis, copy detection, object recognition, photo tourism, and ...
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37.
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38.
  • GDB: Gated Convolutions-bas... GDB: Gated Convolutions-based Document Binarization
    Yang, Zongyuan; Liu, Baolin; Xiong, Yongping ... Pattern recognition, February 2024, 2024-02-00, Volume: 146
    Journal Article
    Peer reviewed
    Open access

    Document binarization is a crucial pre-processing step for various document analysis tasks. However, existing methods fail to accurately capture stroke edges, primarily due to the inherent ...
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  • Automatic recognition and a... Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field
    Li, Gang; Liu, Qiangwei; Ren, Wei ... Measurement : journal of the International Measurement Confederation, January 2021, 2021-01-00, Volume: 170
    Journal Article
    Peer reviewed

    •ILGCHD model can eliminate the effect of pseudo cracks while reducing the model parameters and total computation.•Features of different levels can be combined more effectively through dense ...
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  • Assessing the fidelity of n... Assessing the fidelity of neural network-based segmentation of soil XCT images based on pore-scale modelling of saturated flow properties
    Lavrukhin, Efim V.; Gerke, Kirill M.; Romanenko, Konstantin A. ... Soil & tillage research, 20/May , Volume: 209
    Journal Article
    Peer reviewed

    •We present the initial results of a novel method of using neural networks for soil XCT image segmentation.•Depending on the sample, the accuracy in terms of permeability hit 5% error.•To segment ...
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