Makale detayı · 2013 · article
Edge Detection using Artificial Bee Colony Algorithm ABC
Veri kaynağı ayrımı
- YÖKSİSYÖKSİS makale kaydı
- YÖKSİS dergi adıInternational Journal of Information and Electronics Engineering
- OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
- Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)
Özet
Edge detection methods in the field of image processing are an important application area. Currently, image processing is being exploited in many areas. For this reason, methods used in developing more and more every day and studies which is about computer vision systems are being developed for less errors. Optimization algorithms have been used for better results in so many studies. In this paper, Artificial Bee Colony (ABC) Optimization Algorithm is used for edge detection which is about gray scale images. First, ABC algorithm is explained. Following, edge detection and edge detection with ABC algorithm are clarified. Finally, results are showed. Results show that the proposed method can be applied for edge detection operations.
Konular
Atıflar
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21atıfOpenAlex · cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 6 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- 2015 A survey on the applications of artificial bee colony in signal image and video processingAtıf 143 · OpenAlex
- 2022 Saliency detection based on hybrid artificial bee colony and firefly optimizationAtıf 4 · OpenAlex
- 2022 Saliency detection based on hybrid artificial bee colony and firefly optimizationAtıf 4 · OpenAlex
- 2022 Saliency detection based on hybrid artificial bee colony and firefly optimizationAtıf 4 · OpenAlex
- 2022 Edge detection of aerial images using artificial bee colony algorithmAtıf 0 · OpenAlex
- 2022 Edge detection of aerial images using artificial bee colony algorithmAtıf 0 · OpenAlex