Yıl: 2022 Cilt: 10 Sayı: 1 Sayfa Aralığı: 73 - 80 Metin Dili: İngilizce DOI: 10.51354/mjen.1053446 İndeks Tarihi: 10-11-2022

Edge detection of aerial images using artificial bee colony algorithm

Öz:
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.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA Yelmenoglu E, Baykan N (2022). Edge detection of aerial images using artificial bee colony algorithm. , 73 - 80. 10.51354/mjen.1053446
Chicago Yelmenoglu Elif Deniz,Baykan Nurdan Edge detection of aerial images using artificial bee colony algorithm. (2022): 73 - 80. 10.51354/mjen.1053446
MLA Yelmenoglu Elif Deniz,Baykan Nurdan Edge detection of aerial images using artificial bee colony algorithm. , 2022, ss.73 - 80. 10.51354/mjen.1053446
AMA Yelmenoglu E,Baykan N Edge detection of aerial images using artificial bee colony algorithm. . 2022; 73 - 80. 10.51354/mjen.1053446
Vancouver Yelmenoglu E,Baykan N Edge detection of aerial images using artificial bee colony algorithm. . 2022; 73 - 80. 10.51354/mjen.1053446
IEEE Yelmenoglu E,Baykan N "Edge detection of aerial images using artificial bee colony algorithm." , ss.73 - 80, 2022. 10.51354/mjen.1053446
ISNAD Yelmenoglu, Elif Deniz - Baykan, Nurdan. "Edge detection of aerial images using artificial bee colony algorithm". (2022), 73-80. https://doi.org/10.51354/mjen.1053446
APA Yelmenoglu E, Baykan N (2022). Edge detection of aerial images using artificial bee colony algorithm. Manas Journal of Engineering, 10(1), 73 - 80. 10.51354/mjen.1053446
Chicago Yelmenoglu Elif Deniz,Baykan Nurdan Edge detection of aerial images using artificial bee colony algorithm. Manas Journal of Engineering 10, no.1 (2022): 73 - 80. 10.51354/mjen.1053446
MLA Yelmenoglu Elif Deniz,Baykan Nurdan Edge detection of aerial images using artificial bee colony algorithm. Manas Journal of Engineering, vol.10, no.1, 2022, ss.73 - 80. 10.51354/mjen.1053446
AMA Yelmenoglu E,Baykan N Edge detection of aerial images using artificial bee colony algorithm. Manas Journal of Engineering. 2022; 10(1): 73 - 80. 10.51354/mjen.1053446
Vancouver Yelmenoglu E,Baykan N Edge detection of aerial images using artificial bee colony algorithm. Manas Journal of Engineering. 2022; 10(1): 73 - 80. 10.51354/mjen.1053446
IEEE Yelmenoglu E,Baykan N "Edge detection of aerial images using artificial bee colony algorithm." Manas Journal of Engineering, 10, ss.73 - 80, 2022. 10.51354/mjen.1053446
ISNAD Yelmenoglu, Elif Deniz - Baykan, Nurdan. "Edge detection of aerial images using artificial bee colony algorithm". Manas Journal of Engineering 10/1 (2022), 73-80. https://doi.org/10.51354/mjen.1053446