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Yayın A novel hybrid edge detection technique: ABC-FA(ISRES Organizasyon Turizm Eğitim Danışmanlık Ltd. Şti., 2017-11-09) Yelmenoğlu, Elif Deniz; Çelebi, Numan; Taşçı, TuğrulImage processing is a vast research field with diversified set of practices utilized in so many application areas such as military, security, medical imaging, machine learning and computer vision based on extracted useful information from any kind of image data. Edges within images are undoubtedly accepted as one of the most significant features providing substantial practical information for various applications working on top of miscellaneous optimization algorithms to achieve better results. Artificial Bee Colony and Firefly algorithms are recently developed optimization algorithms and are used to obtain better results for various problems. In this study, a novel hybrid optimization technique is proposed by combining those algorithms aiming better quality in edge detection on grayscale images. The performance of the proposed algorithm is compared with individual performances of Artificial Bee Colony algorithm and the fundamental edge detection methods. The results are demonstrated that the proposed method is encouraging and also produces meaningful results for similar applications.Yayın Saliency detection with hybrid artificial bee colony-firefly optimization method(ICCESEN, 2018-12-28) Yelmenoğlu, Elif Deniz; Çelebi, Numan; Taşçı, Tuğrul; Akkurt, İskender; Günoğlu, Kadir; Akyıldırım, HakanImplementation of optimization algorithms in image processing is a quite common area of research. Detecting salient fields in images can be used for problems such as object recognition, image segmentation or video tracking problems. This case makes the determination of saliency an important factor in image processing. The algorithms developed for salient region detection are divided into two approaches as bottom-up and top-down. The bottom-up techniques determine salient regions according to the data, and the top-down techniques discover these regions by the learning of visual information of a certain object. This paper presents an optimization technique for bottom-up saliency detection algorithm based on Hybrid Artificial Bee Colony- Firefly algorithm.
