While the areas of applications for quadrotors are expanding, computer vision capabilities of these vehicles are making progress in both environment sensing and vehicle control. In this study, an image-based visual servo control system using the image taken from the camera mounted on the vehicle is proposed. Dissimilarly from classical visual servo systems, the proposed system utilizes fuzzy logic to assign gain and to keep features in the field of view.