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.
Bozorgmanesh, H. (2022). Comparing image segmentation methods using data envelopment analysis. Computational Mathematics and Computer Modeling with Applications (CMCMA), 1(1), 48–55. https://doi.org/10.52547/CMCMA.1.1.48
MLA
Bozorgmanesh, H. "Comparing image segmentation methods using data envelopment analysis", Computational Mathematics and Computer Modeling with Applications (CMCMA), 1, 1, 2022, 48–55. doi: 10.52547/CMCMA.1.1.48
HARVARD
Bozorgmanesh, H. (2022). 'Comparing image segmentation methods using data envelopment analysis', Computational Mathematics and Computer Modeling with Applications (CMCMA), 1(1), pp. 48–55. doi: 10.52547/CMCMA.1.1.48
CHICAGO
Bozorgmanesh, H., "Comparing image segmentation methods using data envelopment analysis." Computational Mathematics and Computer Modeling with Applications (CMCMA), 1 1 (2022): 48–55, doi: 10.52547/CMCMA.1.1.48
VANCOUVER
Bozorgmanesh H. Comparing image segmentation methods using data envelopment analysis. Computational Mathematics and Computer Modeling with Applications (CMCMA). 2022;1(1):48–55. doi: 10.52547/CMCMA.1.1.48
