Features extraction of fluorescent light image for positioning information acquisition using steerable Gaussian filter

Indoor positioning technology has been a goal of ubiquitous computing research. In this paper, we show the feasibility of detecting fluorescent light based on the camera images received from a smart phone. We present a robust and real time approach to fluorescent light detection in indoor environments. It is based on taking a ceiling image by Smartphone image sensor, filtering using selective oriented Gaussian filters. Our algorithm can detect all fluorescent light in still images of indoor environments in various conditions.