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Understanding Image Registration

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Title: Understanding Image Registration
Description: In Understanding Image Registration, two applications of image registration are discussed: the retinal image registration method and the far infrared image registration method. Many applications such as aerial photography and other wide-field-of-view image registering techniques can benefit from said methods. Following this, in order to compare the performance of image registration using sparse coding with other non-sparse registration methods, a simulated transformation is utilized. Even in the presence of bias field distortion, the proposed method aligns images without any preprocessing for bias field correction. The concluding study focuses on how the concept of a Gelfand pair from the theory of noncommutative harmonic analysis points to a two-step procedure. It introduces the Méndez transform that finds a partial solution to a registration problem, and the remaining problem can then be solved more easily using well-known methods.
Authors: Isaac Pelchat
Resource Type: eBook.
Subjects: Computer vision, Image processing--Digital techniques
Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition
Database: eBook Collection (EBSCOhost)
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PubType: eBook
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  Data: In Understanding Image Registration, two applications of image registration are discussed: the retinal image registration method and the far infrared image registration method. Many applications such as aerial photography and other wide-field-of-view image registering techniques can benefit from said methods. Following this, in order to compare the performance of image registration using sparse coding with other non-sparse registration methods, a simulated transformation is utilized. Even in the presence of bias field distortion, the proposed method aligns images without any preprocessing for bias field correction. The concluding study focuses on how the concept of a Gelfand pair from the theory of noncommutative harmonic analysis points to a two-step procedure. It introduces the Méndez transform that finds a partial solution to a registration problem, and the remaining problem can then be solved more easily using well-known methods.
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RecordInfo BibRecord:
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      – Code: 006.37
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Computer vision
        Type: general
      – SubjectFull: Image processing--Digital techniques
        Type: general
    Titles:
      – TitleFull: Understanding Image Registration
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Isaac Pelchat
      – PersonEntity:
          Name:
            NameFull: Isaac Pelchat
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      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
            – D: 08
              M: 12
              Type: profile
              Y: 2022
          Identifiers:
            – Type: isbn-electronic
              Value: 9781536175493
          Titles:
            – TitleFull: Understanding Image Registration
              Type: main
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