An application of artificial bee colony optimization to image edge detection

Edge detection is an important pretreatment for digital image processing. Artificial bee colony algorithm is an efficient intelligent algorithm which is widely used in different subjects. This paper adopts the artificial bee colony optimization algorithm in searching global optimized points of edge detection, and improves the method of searching for neighbor edge points based on the global optimized points to get the final edge detection figure. Four parameters in the whole algorithm are discussed clearly. The presented idea that the onlooker bees and some of the scout bees carry important subtle edge information is proved correct in this paper.