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Edge Detection using Cost Minimization Method

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2022, 8(1), pp.59-64
  • DOI : 10.20465/KIOTS.2022.8.1.059
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : December 27, 2021
  • Accepted : February 13, 2022
  • Published : February 28, 2022

DongWoo Lee 1 Lee Seong Hoon 2

1우송대학교
2백석대학교

Accredited

ABSTRACT

Existing edge discovery techniques only found edges of defined shapes based on precise definitions of edges. Therefore, there are many limitations in finding edges for images of complex and diverse shapes that exist in the real world. A method for solving these problems and discovering various types of edges is a cost minimization method. In this method, the cost function and cost factor are defined and used. This cost function calculates the cost of the candidate edge model generated according to the candidate edge generation strategy. If a satisfactory result is obtained, the corresponding candidate edge model becomes the edge for the image. In this study, a new candidate edge generation strategy was proposed to discover edges for images of more diverse shapes in order to improve the disadvantage of only finding edges of a defined shape, which is a problem of the cost minimization method. In addition, the contents of improvement were confirmed through a simple simulation that reflected these points.

Citation status

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