Journal of Infrared and Millimeter Waves, Volume. 39, Issue 5, 650(2020)

Maritime background infrared imagery classification based on histogram of oriented gradient and local contrast features

Li-Li DONG, Tong ZHANG*, Dong-Dong MA, and Wen-Hai XU
Author Affiliations
  • School of Information Science and Technology, Dalian Maritime University, Dalian116026, China
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    Figures & Tables(14)
    Sea infrared images
    Three-dimensional map of sea infrared images
    SSLE
    The process of extracting features
    Fused features
    Two similar gray distribution of different background images
    Gray distribution of base layer and detail layer of different background images
    Local contrast calculation diagram
    16*16 matrix
    Local contrast calculation diagram based on different sea backgrounds:
    Accuracy and time cost of different classification algorithms
    • Table 1. Comparison of different cell sizes

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      Table 1. Comparison of different cell sizes

      Cell size8*816*1632*32
      Feature vector dimension3459681001764
      Time cost(s)48.11915.65312.515
    • Table 2. Classification accuracy of different background images

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      Table 2. Classification accuracy of different background images

      Number of misjudged imagesClassification error rate
      Total images93.6%
      Classification of different types of background images20.8%
      Classification accuracy of multiple types of backgrounds in the same image72.8%
    • Table 3. A misclassified image

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      Table 3. A misclassified image

      ImageExpected classificationActual classification
      SFESSLE
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    Li-Li DONG, Tong ZHANG, Dong-Dong MA, Wen-Hai XU. Maritime background infrared imagery classification based on histogram of oriented gradient and local contrast features[J]. Journal of Infrared and Millimeter Waves, 2020, 39(5): 650

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    Paper Information

    Category: Image Processing and Software Simulation

    Received: Dec. 19, 2019

    Accepted: --

    Published Online: Dec. 29, 2020

    The Author Email: Tong ZHANG (zhangtong_haishi@163.com)

    DOI:10.11972/j.issn.1001-9014.2020.05.016

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