THE COMPARISON OF THE EFFECTS OF THRESHOLDING METHODS ON SEGMENTATION USING THE MOTH FLAME OPTIMIZATION ALGORITHM-Reference-Cited by-同舟云学术

THE COMPARISON OF THE EFFECTS OF THRESHOLDING METHODS ON SEGMENTATION USING THE MOTH FLAME OPTIMIZATION ALGORITHM

Published:2023-06-03 Issue:2 Volume:26 Page:517-531
ISSN:1309-1751
Container-title:Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi
language:
Short-container-title:

Author:

KARAKOYUN Murat¹^ORCID

Affiliation:

1. Necmettin Erbakan University

Abstract

Segmentation is an important preprocessing step that directly affects the success in image processing applications. There are many methods and approaches used for the segmentation process. Thresholding is a frequently used approach among these methods. There are several suggested approaches to thresholding. In this study, six different thresholding approaches were used as the fitness functions using the moth flame algorithm and the results obtained from these approaches were compared. In experimental studies, seven different threshold levels of 10 different images were studied. In comparisons made with three different metrics, it was seen that the Otsu method was generally more successful. It has also been observed that the minimum cross entropy and Renyi entropies can be used as alternatives.

Publisher

Kahramanmaras Sutcu Imam University Journal of Engineering Sciences

Subject

General Earth and Planetary Sciences,General Environmental Science

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