Edge detection of aerial images using artificial bee colony algorithm

Elif Deniz YELMENOGLU; Nurdan AKHAN BAYKAN

doi:https://doi.org/10.51354/mjen.1053446

Makale detayları

Edge detection of aerial images using artificial bee colony algorithm

Yazarlar:

Elif Deniz YELMENOGLU | Nurdan AKHAN BAYKAN

Yayıncı:

Kyrgyz-Turkish Manas University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

MANAS Journal of Engineering 2022 Vol.10 Issue 1, pp.73-80

Belge Tipi:

Makale

Yayın Tarihi:

6/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000527791

Sıklık:

İki Yıllık

eISSN:

1694-7398

pISSN:

1694-7398

DOI:

https://doi.org/10.51354/mjen.1053446

Özet:

 

Edge detection techniques are the one of the best popular and significant implementation areas of the image processing. Moreover, image processing is very widely used in so many fields. Therefore, lots of methods are used in the development and the developed studies provide a variety of solutions to problems of computer vision systems. In many studies, metaheuristic algorithms have been used for obtaining better results. In this paper, aerial images are used for edge information extraction by using Artificial Bee Colony (ABC) Optimization Algorithm. Procedures were performed on gray scale aerial images which are taken from RADIUS/DARPA-IU Fort Hood database. Initially bee colony size was specified according to sizes of images. Then a threshold value was set for each image, which related with images’ standard deviation of gray scale values.  After the bees were distributed, fitness values and probability values were computed according to gray scale value. While appropriate pixels were specified, the other ones were being abandoned and labeled as banned pixels therefore bees never located on these pixels again.  So the edges were found without the need to examine all pixels in the image. Our improved method’s results are compared with other results found in the literature according to detection error and similarity calculations’. All the experimental results show that ABC can be used for obtaining edge information from images.

Makale detayları

Edge detection of aerial images using artificial bee colony algorithm

Yazarlar: Elif Deniz YELMENOGLU | Nurdan AKHAN BAYKAN

Yayıncı: Kyrgyz-Turkish Manas University

Ana Başlıklar: Uygulamalı fizik

Dergi: MANAS Journal of Engineering 2022 Vol.10 Issue 1, pp.73-80

Belge Tipi: Makale

Yayın Tarihi: 6/2022

Belge Dili: İngilizce

Document ID (Org No.): 2000527791

Sıklık: İki Yıllık

eISSN: 1694-7398

pISSN: 1694-7398

DOI: https://doi.org/10.51354/mjen.1053446

Sayı

Yazarlar:

Elif Deniz YELMENOGLU | Nurdan AKHAN BAYKAN

Yayıncı:

Kyrgyz-Turkish Manas University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

MANAS Journal of Engineering 2022 Vol.10 Issue 1, pp.73-80

Belge Tipi:

Makale

Yayın Tarihi:

6/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000527791

Sıklık:

İki Yıllık

eISSN:

1694-7398

pISSN:

1694-7398

DOI:

https://doi.org/10.51354/mjen.1053446