Optimization of Intuitionistic Fuzzy Logic Edge Detection Algorithm via Otsu Method

Volume: 15 Number: 2 February 7, 2013
Kahramanmaras Sutcu Imam University Journal of Engineering Sciences Cover
Kahramanmaras Sutcu Imam University Journal of Engineering Sciences
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Optimization of Intuitionistic Fuzzy Logic Edge Detection Algorithm via Otsu Method

Abstract

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 Several methods can be used to define or sense of the images in image processing systems. The most commonly used of these methods are the edge extraction algorithms. In recent years, many studies have been used intuitionistic fuzzy logic confronted with edge extraction algorithms. Intuitionistic fuzzy edge extraction algorithm is designed by experts and specialist contacts the edge of a fuzzy logic inference algorithm to minimize errors. In this algorithm, the threshold value for removing the edges of objects in images is processed randomly determined by the method of trial and error. Because of the image algorithm is obtained in different environments by using a fixed threshold value, the exact results cannot be achieved. In this study, an algorithm was developed to solve the threshold problem by using Otsu methods that automatically determine the threshold value of the numerical values ​​of an image.

Keywords

References

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Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Eyüp Yalçın

Publication Date

February 7, 2013

Submission Date

February 7, 2013

Acceptance Date

-

Published in Issue

Year 2012 Volume: 15 Number: 2

DOI

https://doi.org/10.17780/ksujes.93430

IZ

https://izlik.org/JA86AW44LP

Cite

RIS / Bibtex
APA
Badem, H., Yalçın, E., & Güneş, M. (2013). Optimization of Intuitionistic Fuzzy Logic Edge Detection Algorithm via Otsu Method. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 15(2), 1-10. https://doi.org/10.17780/ksujes.93430