Journal of Information Processing Systems

  • 제19권1호
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  • Pages.33-45
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  • 2023
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  • 1976-913X(pISSN)
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  • 2092-805X(eISSN)
한국정보처리학회 (Korea Information Processing Society)
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Development of Automatic Conversion System for Pipo Painting Image Based on Artificial Intelligence

  • Minku, Koo (Dept. of Software Convergence, Cheongju University) ;
  • Jiyong, Park (Dept. of Software Convergence, Cheongju University) ;
  • Hyunmoo, Lee (Dept. of Software Convergence, Cheongju University) ;
  • Giseop, Noh (Dept. of Software Convergence, Cheongju University)
  • 투고 : 2021.11.17
  • 심사 : 2022.03.13
  • 발행 : 2023.02.28
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초록

This paper proposes an algorithm that automatically converts images into Pipo, painting images using OpenCV-based image processing technology. The existing "purity," "palm," "puzzling," and "painting," or Pipo, painting image production method relies on manual work, so customized production has the disadvantage of coming with a high price and a long production period. To resolve this problem, using the OpenCV library, we developed a technique that automatically converts an image into a Pipo painting image by designing a module that changes an image, like a picture; draws a line based on a sector boundary; and writes sector numbers inside the line. Through this, it is expected that the production cost of customized Pipo painting images will be lowered and that the production period will be shortened.

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참고문헌

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