Multivalued Discrete Tomography Using Dynamical System That Describes Competition

• Kojima, Takeshi

• Ueta, Tetsushi

• Yoshinaga, Tetsuya

抄録

Multivalued discrete tomography involves reconstructing images composed of three or more gray levels from projections. We propose a method based on the continuous-time optimization approach with a nonlinear dynamical system that effectively utilizes competition dynamics to solve the problem of multivalued discrete tomography. We perform theoretical analysis to understand how the system obtains the desired multivalued reconstructed image. Numerical experiments illustrate that the proposed method also works well when the number of pixels is comparatively high even if the exact labels are unknown.

収録刊行物

• Mathematical Problems in Engineering

  Mathematical Problems in Engineering 2017 8160354-, 2017-11-12

  Hindawi

キーワード

• General Engineering
• General Mathematics

詳細情報

• CRID: 1050565162987532416
• NII論文ID: 120006814110
• NII書誌ID: AA11947206
• ISSN: 1024123X
• ISSN: 15635147
• DOI: 10.1155/2017/8160354
• Web Site: https://repo.lib.tokushima-u.ac.jp/114381
• Web Site: http://downloads.hindawi.com/journals/mpe/2017/8160354.pdf
• Web Site: http://downloads.hindawi.com/journals/mpe/2017/8160354.xml
• 本文言語コード: en
• 資料種別: journal article
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