A NOVEL HYBRID EDGE DETECTION TECHNIQUE: ABC-FA

Abstract

Image processing is a vastresearch field with diversified set of practices utilized in so manyapplication areas such as military, security, medical imaging, machine learningand computer vision based on extracted useful information from any kind of imagedata. Edges within images are undoubtedly accepted as one of the mostsignificant features providing substantial practical information for variousapplications working on top of miscellaneous optimization algorithms to achievebetter results. Artificial Bee Colony and Firefly algorithms are recentlydeveloped optimization algorithms and are used to obtain better results forvarious problems. In this study, a novel hybrid optimization technique isproposed by combining those algorithms aiming better quality in edge detectionon grayscale images. The performance of theproposed algorithm is compared with individual performances ofArtificial Bee Colony algorithm and the fundamental edge detection methods. The results are demonstrated that theproposed method is encouraging and also produces meaningful results for similarapplications.