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

Volume 1, Issue 1 - Serial Number 1
January 2022
Pages 48-55
  • Receive Date: 22 December 2021
  • Revise Date: 20 January 2022
  • Accept Date: 25 January 2022
  • First Publish Date: 25 January 2022