Development of Automatic Conversion System for Pipo Painting Image Based on Artificial Intelligence


Minku Koo, Jiyong Park, Hyunmoo Lee, Giseop Noh, Journal of Information Processing Systems Vol. 19, No. 1, pp. 33-45, Feb. 2023  

10.3745/JIPS.02.0189
Keywords: computer vision, image processing, OpenCV, Pipo Painting
Fulltext:

Abstract

This paper proposes an algorithm that automatically converts images into Pipo, painting images using OpenCVbased 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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Cite this article
[APA Style]
Koo, M., Park, J., Lee, H., & Noh, G. (2023). Development of Automatic Conversion System for Pipo Painting Image Based on Artificial Intelligence. Journal of Information Processing Systems, 19(1), 33-45. DOI: 10.3745/JIPS.02.0189.

[IEEE Style]
M. Koo, J. Park, H. Lee, G. Noh, "Development of Automatic Conversion System for Pipo Painting Image Based on Artificial Intelligence," Journal of Information Processing Systems, vol. 19, no. 1, pp. 33-45, 2023. DOI: 10.3745/JIPS.02.0189.

[ACM Style]
Minku Koo, Jiyong Park, Hyunmoo Lee, and Giseop Noh. 2023. Development of Automatic Conversion System for Pipo Painting Image Based on Artificial Intelligence. Journal of Information Processing Systems, 19, 1, (2023), 33-45. DOI: 10.3745/JIPS.02.0189.