Comparing image segmentation methods using data envelopment analysis

Document Type : Regular paper

Author

Department of Applied Mathematics, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran

Abstract
In this paper, a model based on data envelopment analysis is used for comparing di erent image segmentation methods
and also for the purpose of  nding the best parameter among certain values for a method. The criteria for choosing inputs
and outputs are explained and in the end, some examples are presented to demonstrate how this model works.

Keywords

  • Receive Date 22 December 2021
  • Revise Date 20 January 2022
  • Accept Date 25 January 2022