A novel edge detection approach based on backtracking search optimization algorithm (BSA) clustering
8th International Conference on Information Technology, ICIT 2017, Amman, Ürdün, 17 - 18 Mayıs 2017, ss.116-122, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası:
- Doi Numarası: 10.1109/icitech.2017.8079987
- Basıldığı Şehir: Amman
- Basıldığı Ülke: Ürdün
- Sayfa Sayıları: ss.116-122
- Erciyes Üniversitesi Adresli: Evet
Özet
© 2017 IEEE.Image edge information is very important in application areas such as machine learning, image processing, stereo vision, object tracking and pattern recognition. Intensity discontinuities or sudden intensity changes in a region are indicative of the edge region in that region. Although there are many approaches to detecting edge, generally intensity discontinuities or sudden intensity changes in a region are described as edge. In this study, we proposed a Backtracking Search (BSA) clustering based edge detection approach for noisy images. Proposed approach has two stages. In first stage, the edge map is calculated using the max-min filter defined in a window. In second stage, edge map is calculated via BSA based clustering with using a cost function.