Development of Automatic Conversion System for Pipo Painting Image Based on Artificial Intelligence
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This paper proposes an algorithm that automatically converts images into Pipo, painting images using OpenCVbasedimage processing technology. The existing “purity,” “palm,” “puzzling,” and “painting,” or Pipo, paintingimage production method relies on manual work, so customized production has the disadvantage of comingwith a high price and a long production period. To resolve this problem, using the OpenCV library, wedeveloped a technique that automatically converts an image into a Pipo painting image by designing a modulethat changes an image, like a picture; draws a line based on a sector boundary; and writes sector numbers insidethe line. Through this, it is expected that the production cost of customized Pipo painting images will be loweredand that the production period will be shortened.
Abstract
This paper proposes an algorithm that automatically converts images into Pipo, painting images using OpenCVbasedimage processing technology. The existing “purity,” “palm,” “puzzling,” and “painting,” or Pipo, paintingimage production method relies on manual work, so customized production has the disadvantage of comingwith a high price and a long production period. To resolve this problem, using the OpenCV library, wedeveloped a technique that automatically converts an image into a Pipo painting image by designing a modulethat changes an image, like a picture; draws a line based on a sector boundary; and writes sector numbers insidethe line. Through this, it is expected that the production cost of customized Pipo painting images will be loweredand that the production period will be shortened.
참고문헌 (17)
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